Causal mediation analysis in nested case-control studies using conditional logistic regression.

Kim, Young Min; Cologne, John B; Jang, Euna; Lange, Theis; Tatsukawa, Yoshimi; Ohishi, Waka; Utada, Mai; Cullings, Harry M

Kim, Young Min; Cologne, John B; Jang, Euna; Lange, Theis; Tatsukawa, Yoshimi; Ohishi, Waka; Utada, Mai; Cullings, Harry M.

Afiliação

Kim YM; Department of Statistics, Kyungpook National University, 80 Daehak-ro, Daegu, Republic of Korea.
Cologne JB; Department of Statistics, Radiation Effects Research Foundation, Hiroshima, Hiroshima Prefecture, Japan.
Jang E; Department of Statistics, Kyungpook National University, 80 Daehak-ro, Daegu, Republic of Korea.
Lange T; Section of Biostatistics, University of Copenhagen, Copenhagen, Denmark.
Tatsukawa Y; Department of Clinical Studies, Radiation Effects Research Foundation, Hiroshima, Hiroshima Prefecture, Japan.
Ohishi W; Department of Clinical Studies, Radiation Effects Research Foundation, Hiroshima, Hiroshima Prefecture, Japan.
Utada M; Department of Epidemiology, Radiation Effects Research Foundation, Hiroshima, Hiroshima Prefecture, Japan.
Cullings HM; Department of Statistics, Radiation Effects Research Foundation, Hiroshima, Hiroshima Prefecture, Japan.

Biom J ; 62(8): 1939-1959, 2020 Dec.

Article em En | MEDLINE | ID: mdl-32608110

Palavras-chave

Cox proportional hazards model; causal mediation analysis; cohort; conditional logistic regression; nested case-control study

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Risk_factors_studies Idioma: En Revista: Biom J Ano de publicação: 2020 Tipo de documento: Article

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