Equivalence tests for safety assessment of genetically modified crops using plant composition data
The evaluation of compositional characteristics of plants harvested from field trials is an important step in the safety assessment of a genetically modified crop and its derived products for food and feed. The European Food Safety Authority (EFSA) evaluates safety by testing for equivalence between...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Engel, Jasper [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2021transfer abstract |
|---|
| Schlagwörter: |
|---|
| Übergeordnetes Werk: |
Enthalten in: Numerical simulations on static Vertical Axis Wind Turbine blade icing - Manatbayev, Rustem ELSEVIER, 2021, New York, NY [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:156 ; year:2021 ; pages:0 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.fct.2021.112517 |
|---|
| Katalog-ID: |
ELV055411886 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | ELV055411886 | ||
| 003 | DE-627 | ||
| 005 | 20230626041632.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 220105s2021 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.fct.2021.112517 |2 doi | |
| 028 | 5 | 2 | |a /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001626.pica |
| 035 | |a (DE-627)ELV055411886 | ||
| 035 | |a (ELSEVIER)S0278-6915(21)00550-0 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 530 |a 620 |q VZ |
| 084 | |a 52.56 |2 bkl | ||
| 100 | 1 | |a Engel, Jasper |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Equivalence tests for safety assessment of genetically modified crops using plant composition data |
| 264 | 1 | |c 2021transfer abstract | |
| 336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
| 337 | |a nicht spezifiziert |b z |2 rdamedia | ||
| 338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
| 520 | |a The evaluation of compositional characteristics of plants harvested from field trials is an important step in the safety assessment of a genetically modified crop and its derived products for food and feed. The European Food Safety Authority (EFSA) evaluates safety by testing for equivalence between the GM genotype and other genotypes, typically with a history of safe use. Here, a new equivalence test is proposed, which addresses issues with the EFSA test. The method is motivated by a recently proposed equivalence test for analysis of data from animal feeding trials. In order to be suitable for practical safety assessment, the new method has a statistical power set to a desired value, e.g. 95%, by construction. In addition, we assess distributions rather than average values. This way, equivalence limits can also be established when there is limited genotypic variation. The original EFSA equivalence test breaks down in this case. The method is illustrated by its application to data from a field study on maize grain. Simulation studies indicate that the proposed test has appropriate performance characteristics and is competitive with respect to recently proposed alternatives, including the EFSA/EU equivalence test. | ||
| 520 | |a The evaluation of compositional characteristics of plants harvested from field trials is an important step in the safety assessment of a genetically modified crop and its derived products for food and feed. The European Food Safety Authority (EFSA) evaluates safety by testing for equivalence between the GM genotype and other genotypes, typically with a history of safe use. Here, a new equivalence test is proposed, which addresses issues with the EFSA test. The method is motivated by a recently proposed equivalence test for analysis of data from animal feeding trials. In order to be suitable for practical safety assessment, the new method has a statistical power set to a desired value, e.g. 95%, by construction. In addition, we assess distributions rather than average values. This way, equivalence limits can also be established when there is limited genotypic variation. The original EFSA equivalence test breaks down in this case. The method is illustrated by its application to data from a field study on maize grain. Simulation studies indicate that the proposed test has appropriate performance characteristics and is competitive with respect to recently proposed alternatives, including the EFSA/EU equivalence test. | ||
| 650 | 7 | |a Equivalence test |2 Elsevier | |
| 650 | 7 | |a Distribution-wise equivalence |2 Elsevier | |
| 650 | 7 | |a Linear mixed model |2 Elsevier | |
| 650 | 7 | |a Food safety |2 Elsevier | |
| 650 | 7 | |a Generalized pivotal quantity |2 Elsevier | |
| 700 | 1 | |a van der Voet, Hilko |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier |a Manatbayev, Rustem ELSEVIER |t Numerical simulations on static Vertical Axis Wind Turbine blade icing |d 2021 |g New York, NY [u.a.] |w (DE-627)ELV005709407 |
| 773 | 1 | 8 | |g volume:156 |g year:2021 |g pages:0 |
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.fct.2021.112517 |3 Volltext |
| 912 | |a GBV_USEFLAG_U | ||
| 912 | |a GBV_ELV | ||
| 912 | |a SYSFLAG_U | ||
| 936 | b | k | |a 52.56 |j Regenerative Energieformen |j alternative Energieformen |q VZ |
| 951 | |a AR | ||
| 952 | |d 156 |j 2021 |h 0 | ||
| author_variant |
j e je |
|---|---|
| matchkey_str |
engeljaspervandervoethilko:2021----:qiaectssosftassmnogntclyoiidrpu |
| hierarchy_sort_str |
2021transfer abstract |
| bklnumber |
52.56 |
| publishDate |
2021 |
| allfields |
10.1016/j.fct.2021.112517 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001626.pica (DE-627)ELV055411886 (ELSEVIER)S0278-6915(21)00550-0 DE-627 ger DE-627 rakwb eng 530 620 VZ 52.56 bkl Engel, Jasper verfasserin aut Equivalence tests for safety assessment of genetically modified crops using plant composition data 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The evaluation of compositional characteristics of plants harvested from field trials is an important step in the safety assessment of a genetically modified crop and its derived products for food and feed. The European Food Safety Authority (EFSA) evaluates safety by testing for equivalence between the GM genotype and other genotypes, typically with a history of safe use. Here, a new equivalence test is proposed, which addresses issues with the EFSA test. The method is motivated by a recently proposed equivalence test for analysis of data from animal feeding trials. In order to be suitable for practical safety assessment, the new method has a statistical power set to a desired value, e.g. 95%, by construction. In addition, we assess distributions rather than average values. This way, equivalence limits can also be established when there is limited genotypic variation. The original EFSA equivalence test breaks down in this case. The method is illustrated by its application to data from a field study on maize grain. Simulation studies indicate that the proposed test has appropriate performance characteristics and is competitive with respect to recently proposed alternatives, including the EFSA/EU equivalence test. The evaluation of compositional characteristics of plants harvested from field trials is an important step in the safety assessment of a genetically modified crop and its derived products for food and feed. The European Food Safety Authority (EFSA) evaluates safety by testing for equivalence between the GM genotype and other genotypes, typically with a history of safe use. Here, a new equivalence test is proposed, which addresses issues with the EFSA test. The method is motivated by a recently proposed equivalence test for analysis of data from animal feeding trials. In order to be suitable for practical safety assessment, the new method has a statistical power set to a desired value, e.g. 95%, by construction. In addition, we assess distributions rather than average values. This way, equivalence limits can also be established when there is limited genotypic variation. The original EFSA equivalence test breaks down in this case. The method is illustrated by its application to data from a field study on maize grain. Simulation studies indicate that the proposed test has appropriate performance characteristics and is competitive with respect to recently proposed alternatives, including the EFSA/EU equivalence test. Equivalence test Elsevier Distribution-wise equivalence Elsevier Linear mixed model Elsevier Food safety Elsevier Generalized pivotal quantity Elsevier van der Voet, Hilko oth Enthalten in Elsevier Manatbayev, Rustem ELSEVIER Numerical simulations on static Vertical Axis Wind Turbine blade icing 2021 New York, NY [u.a.] (DE-627)ELV005709407 volume:156 year:2021 pages:0 https://doi.org/10.1016/j.fct.2021.112517 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 52.56 Regenerative Energieformen alternative Energieformen VZ AR 156 2021 0 |
| spelling |
10.1016/j.fct.2021.112517 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001626.pica (DE-627)ELV055411886 (ELSEVIER)S0278-6915(21)00550-0 DE-627 ger DE-627 rakwb eng 530 620 VZ 52.56 bkl Engel, Jasper verfasserin aut Equivalence tests for safety assessment of genetically modified crops using plant composition data 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The evaluation of compositional characteristics of plants harvested from field trials is an important step in the safety assessment of a genetically modified crop and its derived products for food and feed. The European Food Safety Authority (EFSA) evaluates safety by testing for equivalence between the GM genotype and other genotypes, typically with a history of safe use. Here, a new equivalence test is proposed, which addresses issues with the EFSA test. The method is motivated by a recently proposed equivalence test for analysis of data from animal feeding trials. In order to be suitable for practical safety assessment, the new method has a statistical power set to a desired value, e.g. 95%, by construction. In addition, we assess distributions rather than average values. This way, equivalence limits can also be established when there is limited genotypic variation. The original EFSA equivalence test breaks down in this case. The method is illustrated by its application to data from a field study on maize grain. Simulation studies indicate that the proposed test has appropriate performance characteristics and is competitive with respect to recently proposed alternatives, including the EFSA/EU equivalence test. The evaluation of compositional characteristics of plants harvested from field trials is an important step in the safety assessment of a genetically modified crop and its derived products for food and feed. The European Food Safety Authority (EFSA) evaluates safety by testing for equivalence between the GM genotype and other genotypes, typically with a history of safe use. Here, a new equivalence test is proposed, which addresses issues with the EFSA test. The method is motivated by a recently proposed equivalence test for analysis of data from animal feeding trials. In order to be suitable for practical safety assessment, the new method has a statistical power set to a desired value, e.g. 95%, by construction. In addition, we assess distributions rather than average values. This way, equivalence limits can also be established when there is limited genotypic variation. The original EFSA equivalence test breaks down in this case. The method is illustrated by its application to data from a field study on maize grain. Simulation studies indicate that the proposed test has appropriate performance characteristics and is competitive with respect to recently proposed alternatives, including the EFSA/EU equivalence test. Equivalence test Elsevier Distribution-wise equivalence Elsevier Linear mixed model Elsevier Food safety Elsevier Generalized pivotal quantity Elsevier van der Voet, Hilko oth Enthalten in Elsevier Manatbayev, Rustem ELSEVIER Numerical simulations on static Vertical Axis Wind Turbine blade icing 2021 New York, NY [u.a.] (DE-627)ELV005709407 volume:156 year:2021 pages:0 https://doi.org/10.1016/j.fct.2021.112517 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 52.56 Regenerative Energieformen alternative Energieformen VZ AR 156 2021 0 |
| allfields_unstemmed |
10.1016/j.fct.2021.112517 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001626.pica (DE-627)ELV055411886 (ELSEVIER)S0278-6915(21)00550-0 DE-627 ger DE-627 rakwb eng 530 620 VZ 52.56 bkl Engel, Jasper verfasserin aut Equivalence tests for safety assessment of genetically modified crops using plant composition data 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The evaluation of compositional characteristics of plants harvested from field trials is an important step in the safety assessment of a genetically modified crop and its derived products for food and feed. The European Food Safety Authority (EFSA) evaluates safety by testing for equivalence between the GM genotype and other genotypes, typically with a history of safe use. Here, a new equivalence test is proposed, which addresses issues with the EFSA test. The method is motivated by a recently proposed equivalence test for analysis of data from animal feeding trials. In order to be suitable for practical safety assessment, the new method has a statistical power set to a desired value, e.g. 95%, by construction. In addition, we assess distributions rather than average values. This way, equivalence limits can also be established when there is limited genotypic variation. The original EFSA equivalence test breaks down in this case. The method is illustrated by its application to data from a field study on maize grain. Simulation studies indicate that the proposed test has appropriate performance characteristics and is competitive with respect to recently proposed alternatives, including the EFSA/EU equivalence test. The evaluation of compositional characteristics of plants harvested from field trials is an important step in the safety assessment of a genetically modified crop and its derived products for food and feed. The European Food Safety Authority (EFSA) evaluates safety by testing for equivalence between the GM genotype and other genotypes, typically with a history of safe use. Here, a new equivalence test is proposed, which addresses issues with the EFSA test. The method is motivated by a recently proposed equivalence test for analysis of data from animal feeding trials. In order to be suitable for practical safety assessment, the new method has a statistical power set to a desired value, e.g. 95%, by construction. In addition, we assess distributions rather than average values. This way, equivalence limits can also be established when there is limited genotypic variation. The original EFSA equivalence test breaks down in this case. The method is illustrated by its application to data from a field study on maize grain. Simulation studies indicate that the proposed test has appropriate performance characteristics and is competitive with respect to recently proposed alternatives, including the EFSA/EU equivalence test. Equivalence test Elsevier Distribution-wise equivalence Elsevier Linear mixed model Elsevier Food safety Elsevier Generalized pivotal quantity Elsevier van der Voet, Hilko oth Enthalten in Elsevier Manatbayev, Rustem ELSEVIER Numerical simulations on static Vertical Axis Wind Turbine blade icing 2021 New York, NY [u.a.] (DE-627)ELV005709407 volume:156 year:2021 pages:0 https://doi.org/10.1016/j.fct.2021.112517 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 52.56 Regenerative Energieformen alternative Energieformen VZ AR 156 2021 0 |
| allfieldsGer |
10.1016/j.fct.2021.112517 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001626.pica (DE-627)ELV055411886 (ELSEVIER)S0278-6915(21)00550-0 DE-627 ger DE-627 rakwb eng 530 620 VZ 52.56 bkl Engel, Jasper verfasserin aut Equivalence tests for safety assessment of genetically modified crops using plant composition data 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The evaluation of compositional characteristics of plants harvested from field trials is an important step in the safety assessment of a genetically modified crop and its derived products for food and feed. The European Food Safety Authority (EFSA) evaluates safety by testing for equivalence between the GM genotype and other genotypes, typically with a history of safe use. Here, a new equivalence test is proposed, which addresses issues with the EFSA test. The method is motivated by a recently proposed equivalence test for analysis of data from animal feeding trials. In order to be suitable for practical safety assessment, the new method has a statistical power set to a desired value, e.g. 95%, by construction. In addition, we assess distributions rather than average values. This way, equivalence limits can also be established when there is limited genotypic variation. The original EFSA equivalence test breaks down in this case. The method is illustrated by its application to data from a field study on maize grain. Simulation studies indicate that the proposed test has appropriate performance characteristics and is competitive with respect to recently proposed alternatives, including the EFSA/EU equivalence test. The evaluation of compositional characteristics of plants harvested from field trials is an important step in the safety assessment of a genetically modified crop and its derived products for food and feed. The European Food Safety Authority (EFSA) evaluates safety by testing for equivalence between the GM genotype and other genotypes, typically with a history of safe use. Here, a new equivalence test is proposed, which addresses issues with the EFSA test. The method is motivated by a recently proposed equivalence test for analysis of data from animal feeding trials. In order to be suitable for practical safety assessment, the new method has a statistical power set to a desired value, e.g. 95%, by construction. In addition, we assess distributions rather than average values. This way, equivalence limits can also be established when there is limited genotypic variation. The original EFSA equivalence test breaks down in this case. The method is illustrated by its application to data from a field study on maize grain. Simulation studies indicate that the proposed test has appropriate performance characteristics and is competitive with respect to recently proposed alternatives, including the EFSA/EU equivalence test. Equivalence test Elsevier Distribution-wise equivalence Elsevier Linear mixed model Elsevier Food safety Elsevier Generalized pivotal quantity Elsevier van der Voet, Hilko oth Enthalten in Elsevier Manatbayev, Rustem ELSEVIER Numerical simulations on static Vertical Axis Wind Turbine blade icing 2021 New York, NY [u.a.] (DE-627)ELV005709407 volume:156 year:2021 pages:0 https://doi.org/10.1016/j.fct.2021.112517 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 52.56 Regenerative Energieformen alternative Energieformen VZ AR 156 2021 0 |
| allfieldsSound |
10.1016/j.fct.2021.112517 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001626.pica (DE-627)ELV055411886 (ELSEVIER)S0278-6915(21)00550-0 DE-627 ger DE-627 rakwb eng 530 620 VZ 52.56 bkl Engel, Jasper verfasserin aut Equivalence tests for safety assessment of genetically modified crops using plant composition data 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The evaluation of compositional characteristics of plants harvested from field trials is an important step in the safety assessment of a genetically modified crop and its derived products for food and feed. The European Food Safety Authority (EFSA) evaluates safety by testing for equivalence between the GM genotype and other genotypes, typically with a history of safe use. Here, a new equivalence test is proposed, which addresses issues with the EFSA test. The method is motivated by a recently proposed equivalence test for analysis of data from animal feeding trials. In order to be suitable for practical safety assessment, the new method has a statistical power set to a desired value, e.g. 95%, by construction. In addition, we assess distributions rather than average values. This way, equivalence limits can also be established when there is limited genotypic variation. The original EFSA equivalence test breaks down in this case. The method is illustrated by its application to data from a field study on maize grain. Simulation studies indicate that the proposed test has appropriate performance characteristics and is competitive with respect to recently proposed alternatives, including the EFSA/EU equivalence test. The evaluation of compositional characteristics of plants harvested from field trials is an important step in the safety assessment of a genetically modified crop and its derived products for food and feed. The European Food Safety Authority (EFSA) evaluates safety by testing for equivalence between the GM genotype and other genotypes, typically with a history of safe use. Here, a new equivalence test is proposed, which addresses issues with the EFSA test. The method is motivated by a recently proposed equivalence test for analysis of data from animal feeding trials. In order to be suitable for practical safety assessment, the new method has a statistical power set to a desired value, e.g. 95%, by construction. In addition, we assess distributions rather than average values. This way, equivalence limits can also be established when there is limited genotypic variation. The original EFSA equivalence test breaks down in this case. The method is illustrated by its application to data from a field study on maize grain. Simulation studies indicate that the proposed test has appropriate performance characteristics and is competitive with respect to recently proposed alternatives, including the EFSA/EU equivalence test. Equivalence test Elsevier Distribution-wise equivalence Elsevier Linear mixed model Elsevier Food safety Elsevier Generalized pivotal quantity Elsevier van der Voet, Hilko oth Enthalten in Elsevier Manatbayev, Rustem ELSEVIER Numerical simulations on static Vertical Axis Wind Turbine blade icing 2021 New York, NY [u.a.] (DE-627)ELV005709407 volume:156 year:2021 pages:0 https://doi.org/10.1016/j.fct.2021.112517 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 52.56 Regenerative Energieformen alternative Energieformen VZ AR 156 2021 0 |
| language |
English |
| source |
Enthalten in Numerical simulations on static Vertical Axis Wind Turbine blade icing New York, NY [u.a.] volume:156 year:2021 pages:0 |
| sourceStr |
Enthalten in Numerical simulations on static Vertical Axis Wind Turbine blade icing New York, NY [u.a.] volume:156 year:2021 pages:0 |
| format_phy_str_mv |
Article |
| bklname |
Regenerative Energieformen alternative Energieformen |
| institution |
findex.gbv.de |
| topic_facet |
Equivalence test Distribution-wise equivalence Linear mixed model Food safety Generalized pivotal quantity |
| dewey-raw |
530 |
| isfreeaccess_bool |
false |
| container_title |
Numerical simulations on static Vertical Axis Wind Turbine blade icing |
| authorswithroles_txt_mv |
Engel, Jasper @@aut@@ van der Voet, Hilko @@oth@@ |
| publishDateDaySort_date |
2021-01-01T00:00:00Z |
| hierarchy_top_id |
ELV005709407 |
| dewey-sort |
3530 |
| id |
ELV055411886 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV055411886</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230626041632.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220105s2021 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.fct.2021.112517</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">/cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001626.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV055411886</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0278-6915(21)00550-0</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">530</subfield><subfield code="a">620</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">52.56</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Engel, Jasper</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Equivalence tests for safety assessment of genetically modified crops using plant composition data</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021transfer abstract</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The evaluation of compositional characteristics of plants harvested from field trials is an important step in the safety assessment of a genetically modified crop and its derived products for food and feed. The European Food Safety Authority (EFSA) evaluates safety by testing for equivalence between the GM genotype and other genotypes, typically with a history of safe use. Here, a new equivalence test is proposed, which addresses issues with the EFSA test. The method is motivated by a recently proposed equivalence test for analysis of data from animal feeding trials. In order to be suitable for practical safety assessment, the new method has a statistical power set to a desired value, e.g. 95%, by construction. In addition, we assess distributions rather than average values. This way, equivalence limits can also be established when there is limited genotypic variation. The original EFSA equivalence test breaks down in this case. The method is illustrated by its application to data from a field study on maize grain. Simulation studies indicate that the proposed test has appropriate performance characteristics and is competitive with respect to recently proposed alternatives, including the EFSA/EU equivalence test.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The evaluation of compositional characteristics of plants harvested from field trials is an important step in the safety assessment of a genetically modified crop and its derived products for food and feed. The European Food Safety Authority (EFSA) evaluates safety by testing for equivalence between the GM genotype and other genotypes, typically with a history of safe use. Here, a new equivalence test is proposed, which addresses issues with the EFSA test. The method is motivated by a recently proposed equivalence test for analysis of data from animal feeding trials. In order to be suitable for practical safety assessment, the new method has a statistical power set to a desired value, e.g. 95%, by construction. In addition, we assess distributions rather than average values. This way, equivalence limits can also be established when there is limited genotypic variation. The original EFSA equivalence test breaks down in this case. The method is illustrated by its application to data from a field study on maize grain. Simulation studies indicate that the proposed test has appropriate performance characteristics and is competitive with respect to recently proposed alternatives, including the EFSA/EU equivalence test.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Equivalence test</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Distribution-wise equivalence</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Linear mixed model</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Food safety</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Generalized pivotal quantity</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">van der Voet, Hilko</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier</subfield><subfield code="a">Manatbayev, Rustem ELSEVIER</subfield><subfield code="t">Numerical simulations on static Vertical Axis Wind Turbine blade icing</subfield><subfield code="d">2021</subfield><subfield code="g">New York, NY [u.a.]</subfield><subfield code="w">(DE-627)ELV005709407</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:156</subfield><subfield code="g">year:2021</subfield><subfield code="g">pages:0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.fct.2021.112517</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">52.56</subfield><subfield code="j">Regenerative Energieformen</subfield><subfield code="j">alternative Energieformen</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">156</subfield><subfield code="j">2021</subfield><subfield code="h">0</subfield></datafield></record></collection>
|
| author |
Engel, Jasper |
| spellingShingle |
Engel, Jasper ddc 530 bkl 52.56 Elsevier Equivalence test Elsevier Distribution-wise equivalence Elsevier Linear mixed model Elsevier Food safety Elsevier Generalized pivotal quantity Equivalence tests for safety assessment of genetically modified crops using plant composition data |
| authorStr |
Engel, Jasper |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV005709407 |
| format |
electronic Article |
| dewey-ones |
530 - Physics 620 - Engineering & allied operations |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
elsevier |
| remote_str |
true |
| illustrated |
Not Illustrated |
| topic_title |
530 620 VZ 52.56 bkl Equivalence tests for safety assessment of genetically modified crops using plant composition data Equivalence test Elsevier Distribution-wise equivalence Elsevier Linear mixed model Elsevier Food safety Elsevier Generalized pivotal quantity Elsevier |
| topic |
ddc 530 bkl 52.56 Elsevier Equivalence test Elsevier Distribution-wise equivalence Elsevier Linear mixed model Elsevier Food safety Elsevier Generalized pivotal quantity |
| topic_unstemmed |
ddc 530 bkl 52.56 Elsevier Equivalence test Elsevier Distribution-wise equivalence Elsevier Linear mixed model Elsevier Food safety Elsevier Generalized pivotal quantity |
| topic_browse |
ddc 530 bkl 52.56 Elsevier Equivalence test Elsevier Distribution-wise equivalence Elsevier Linear mixed model Elsevier Food safety Elsevier Generalized pivotal quantity |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
zu |
| author2_variant |
d v h v dvh dvhv |
| hierarchy_parent_title |
Numerical simulations on static Vertical Axis Wind Turbine blade icing |
| hierarchy_parent_id |
ELV005709407 |
| dewey-tens |
530 - Physics 620 - Engineering |
| hierarchy_top_title |
Numerical simulations on static Vertical Axis Wind Turbine blade icing |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)ELV005709407 |
| title |
Equivalence tests for safety assessment of genetically modified crops using plant composition data |
| ctrlnum |
(DE-627)ELV055411886 (ELSEVIER)S0278-6915(21)00550-0 |
| title_full |
Equivalence tests for safety assessment of genetically modified crops using plant composition data |
| author_sort |
Engel, Jasper |
| journal |
Numerical simulations on static Vertical Axis Wind Turbine blade icing |
| journalStr |
Numerical simulations on static Vertical Axis Wind Turbine blade icing |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
500 - Science 600 - Technology |
| recordtype |
marc |
| publishDateSort |
2021 |
| contenttype_str_mv |
zzz |
| container_start_page |
0 |
| author_browse |
Engel, Jasper |
| container_volume |
156 |
| class |
530 620 VZ 52.56 bkl |
| format_se |
Elektronische Aufsätze |
| author-letter |
Engel, Jasper |
| doi_str_mv |
10.1016/j.fct.2021.112517 |
| dewey-full |
530 620 |
| title_sort |
equivalence tests for safety assessment of genetically modified crops using plant composition data |
| title_auth |
Equivalence tests for safety assessment of genetically modified crops using plant composition data |
| abstract |
The evaluation of compositional characteristics of plants harvested from field trials is an important step in the safety assessment of a genetically modified crop and its derived products for food and feed. The European Food Safety Authority (EFSA) evaluates safety by testing for equivalence between the GM genotype and other genotypes, typically with a history of safe use. Here, a new equivalence test is proposed, which addresses issues with the EFSA test. The method is motivated by a recently proposed equivalence test for analysis of data from animal feeding trials. In order to be suitable for practical safety assessment, the new method has a statistical power set to a desired value, e.g. 95%, by construction. In addition, we assess distributions rather than average values. This way, equivalence limits can also be established when there is limited genotypic variation. The original EFSA equivalence test breaks down in this case. The method is illustrated by its application to data from a field study on maize grain. Simulation studies indicate that the proposed test has appropriate performance characteristics and is competitive with respect to recently proposed alternatives, including the EFSA/EU equivalence test. |
| abstractGer |
The evaluation of compositional characteristics of plants harvested from field trials is an important step in the safety assessment of a genetically modified crop and its derived products for food and feed. The European Food Safety Authority (EFSA) evaluates safety by testing for equivalence between the GM genotype and other genotypes, typically with a history of safe use. Here, a new equivalence test is proposed, which addresses issues with the EFSA test. The method is motivated by a recently proposed equivalence test for analysis of data from animal feeding trials. In order to be suitable for practical safety assessment, the new method has a statistical power set to a desired value, e.g. 95%, by construction. In addition, we assess distributions rather than average values. This way, equivalence limits can also be established when there is limited genotypic variation. The original EFSA equivalence test breaks down in this case. The method is illustrated by its application to data from a field study on maize grain. Simulation studies indicate that the proposed test has appropriate performance characteristics and is competitive with respect to recently proposed alternatives, including the EFSA/EU equivalence test. |
| abstract_unstemmed |
The evaluation of compositional characteristics of plants harvested from field trials is an important step in the safety assessment of a genetically modified crop and its derived products for food and feed. The European Food Safety Authority (EFSA) evaluates safety by testing for equivalence between the GM genotype and other genotypes, typically with a history of safe use. Here, a new equivalence test is proposed, which addresses issues with the EFSA test. The method is motivated by a recently proposed equivalence test for analysis of data from animal feeding trials. In order to be suitable for practical safety assessment, the new method has a statistical power set to a desired value, e.g. 95%, by construction. In addition, we assess distributions rather than average values. This way, equivalence limits can also be established when there is limited genotypic variation. The original EFSA equivalence test breaks down in this case. The method is illustrated by its application to data from a field study on maize grain. Simulation studies indicate that the proposed test has appropriate performance characteristics and is competitive with respect to recently proposed alternatives, including the EFSA/EU equivalence test. |
| collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U |
| title_short |
Equivalence tests for safety assessment of genetically modified crops using plant composition data |
| url |
https://doi.org/10.1016/j.fct.2021.112517 |
| remote_bool |
true |
| author2 |
van der Voet, Hilko |
| author2Str |
van der Voet, Hilko |
| ppnlink |
ELV005709407 |
| mediatype_str_mv |
z |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth |
| doi_str |
10.1016/j.fct.2021.112517 |
| up_date |
2024-07-06T17:28:50.273Z |
| _version_ |
1803851588197941248 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV055411886</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230626041632.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220105s2021 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.fct.2021.112517</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">/cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001626.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV055411886</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0278-6915(21)00550-0</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">530</subfield><subfield code="a">620</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">52.56</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Engel, Jasper</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Equivalence tests for safety assessment of genetically modified crops using plant composition data</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021transfer abstract</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The evaluation of compositional characteristics of plants harvested from field trials is an important step in the safety assessment of a genetically modified crop and its derived products for food and feed. The European Food Safety Authority (EFSA) evaluates safety by testing for equivalence between the GM genotype and other genotypes, typically with a history of safe use. Here, a new equivalence test is proposed, which addresses issues with the EFSA test. The method is motivated by a recently proposed equivalence test for analysis of data from animal feeding trials. In order to be suitable for practical safety assessment, the new method has a statistical power set to a desired value, e.g. 95%, by construction. In addition, we assess distributions rather than average values. This way, equivalence limits can also be established when there is limited genotypic variation. The original EFSA equivalence test breaks down in this case. The method is illustrated by its application to data from a field study on maize grain. Simulation studies indicate that the proposed test has appropriate performance characteristics and is competitive with respect to recently proposed alternatives, including the EFSA/EU equivalence test.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The evaluation of compositional characteristics of plants harvested from field trials is an important step in the safety assessment of a genetically modified crop and its derived products for food and feed. The European Food Safety Authority (EFSA) evaluates safety by testing for equivalence between the GM genotype and other genotypes, typically with a history of safe use. Here, a new equivalence test is proposed, which addresses issues with the EFSA test. The method is motivated by a recently proposed equivalence test for analysis of data from animal feeding trials. In order to be suitable for practical safety assessment, the new method has a statistical power set to a desired value, e.g. 95%, by construction. In addition, we assess distributions rather than average values. This way, equivalence limits can also be established when there is limited genotypic variation. The original EFSA equivalence test breaks down in this case. The method is illustrated by its application to data from a field study on maize grain. Simulation studies indicate that the proposed test has appropriate performance characteristics and is competitive with respect to recently proposed alternatives, including the EFSA/EU equivalence test.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Equivalence test</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Distribution-wise equivalence</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Linear mixed model</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Food safety</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Generalized pivotal quantity</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">van der Voet, Hilko</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier</subfield><subfield code="a">Manatbayev, Rustem ELSEVIER</subfield><subfield code="t">Numerical simulations on static Vertical Axis Wind Turbine blade icing</subfield><subfield code="d">2021</subfield><subfield code="g">New York, NY [u.a.]</subfield><subfield code="w">(DE-627)ELV005709407</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:156</subfield><subfield code="g">year:2021</subfield><subfield code="g">pages:0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.fct.2021.112517</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">52.56</subfield><subfield code="j">Regenerative Energieformen</subfield><subfield code="j">alternative Energieformen</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">156</subfield><subfield code="j">2021</subfield><subfield code="h">0</subfield></datafield></record></collection>
|
| score |
7.4015865 |