Magnitude and direction of missing confounders had different consequences on treatment effect estimation in propensity score analysis
Propensity score (PS) analysis allows an unbiased estimate of treatment effects but assumes that all confounders are measured. We assessed the impact of omitting confounders from a PS analysis on clinical decision making.
Gespeichert in:
| Autor*in: |
Nguyen, Tri-Long [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Schlagwörter: |
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| Umfang: |
11 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Influence of external loads on structure and photoactuation in densely crosslinked azo-incorporated liquid crystalline polymers - Li, Chenzhe ELSEVIER, 2017transfer abstract, including pharmacoepidemiology reports, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:87 ; year:2017 ; pages:87-97 ; extent:11 |
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| DOI / URN: |
10.1016/j.jclinepi.2017.04.001 |
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Magnitude and direction of missing confounders had different consequences on treatment effect estimation in propensity score analysis |
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Propensity score (PS) analysis allows an unbiased estimate of treatment effects but assumes that all confounders are measured. We assessed the impact of omitting confounders from a PS analysis on clinical decision making. |
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