A principled approach to mediation analysis in perinatal epidemiology.

Ananth, Cande V; Brandt, Justin S

Ananth, Cande V; Brandt, Justin S.

Afiliação

Ananth CV; Division of Epidemiology and Biostatistics, Department of Obstetrics, Gynecology and Reproductive Sciences, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ; Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ; Cardiovascular Institute of New Jersey, Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ; Environmental and Occupational Health Sciences Institute, Rutgers Robert Wood Johnson Medical School, New B
Brandt JS; Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology and Reproductive Sciences, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ.

Am J Obstet Gynecol ; 226(1): 24-32.e6, 2022 01.

Article em En | MEDLINE | ID: mdl-34991898

Assuntos

Epidemiologia; Análise de Mediação; Perinatologia; Feminino; Humanos; Recém-Nascido; Gravidez

Palavras-chave

causal analysis; collider bias; epidemiology; mediation analysis; perinatal research; unmeasured confounding

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Perinatologia / Epidemiologia / Análise de Mediação Tipo de estudo: Observational_studies / Risk_factors_studies / Screening_studies Limite: Female / Humans / Newborn / Pregnancy Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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