Breaking with trends in pre-processing?
• Pre-processing can make or break data analysis. • Selection of appropriate pre-processing strategies is crucial. • Three types of selection approaches seem commonly used. • All approaches have serious drawbacks and can provide misleading results. • Objective approaches to quality parameters are re...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Engel, Jasper [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2013 |
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| Schlagwörter: |
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| Umfang: |
11 |
|---|
| Übergeordnetes Werk: |
Enthalten in: The effect of increasing Body Mass Index on sperm quality of subfertile men - Kozopas, N. ELSEVIER, 2019, TrAC, Amsterdam |
|---|---|
| Übergeordnetes Werk: |
volume:50 ; year:2013 ; pages:96-106 ; extent:11 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.trac.2013.04.015 |
|---|
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ELV032892594 |
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| 520 | |a • Pre-processing can make or break data analysis. • Selection of appropriate pre-processing strategies is crucial. • Three types of selection approaches seem commonly used. • All approaches have serious drawbacks and can provide misleading results. • Objective approaches to quality parameters are required for future research. | ||
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Gerretzen, Jan Szymańska, Ewa Jansen, Jeroen J. Downey, Gerard Blanchet, Lionel Buydens, Lutgarde M.C. |
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Gerretzen, Jan Szymańska, Ewa Jansen, Jeroen J. Downey, Gerard Blanchet, Lionel Buydens, Lutgarde M.C. |
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10.1016/j.trac.2013.04.015 |
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2024-07-06T17:18:38.555Z |
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