A comparison of full model specification and backward elimination of potential confounders when estimating marginal and conditional causal effects on binary outcomes from observational data.

Luijken, Kim; Groenwold, Rolf H H; van Smeden, Maarten; Strohmaier, Susanne; Heinze, Georg

Luijken, Kim; Groenwold, Rolf H H; van Smeden, Maarten; Strohmaier, Susanne; Heinze, Georg.

Afiliação

Luijken K; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
Groenwold RHH; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
van Smeden M; Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.
Strohmaier S; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
Heinze G; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, University of Utrecht, Utrecht, The Netherlands.

Biom J ; 2022 May 12.

Article em En | MEDLINE | ID: mdl-35560110

Palavras-chave

backward elimination; causal inference; confounder selection

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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