Bias amplification in the g-computation algorithm for time-varying treatments: a case study of industry payments and prescription of opioid products.

Inoue, Kosuke; Goto, Atsushi; Kondo, Naoki; Shinozaki, Tomohiro

Inoue, Kosuke; Goto, Atsushi; Kondo, Naoki; Shinozaki, Tomohiro.

Afiliação

Inoue K; Department of Social Epidemiology, Graduate School of Medicine, Kyoto University, Floor 2, Science Frontier Laboratory, Yoshida-konoe-cho, Sakyo-ku, Kyoto, 604-8146, Japan. koinoue@ucla.edu.
Goto A; Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA. koinoue@ucla.edu.
Kondo N; Department of Health Data Science, Graduate School of Data Science, Yokohama City University, Yokohama, Kanagawa, Japan.
Shinozaki T; Department of Social Epidemiology, Graduate School of Medicine, Kyoto University, Floor 2, Science Frontier Laboratory, Yoshida-konoe-cho, Sakyo-ku, Kyoto, 604-8146, Japan.

BMC Med Res Methodol ; 22(1): 120, 2022 04 25.

Article em En | MEDLINE | ID: mdl-35468735

Assuntos

Analgésicos Opioides; Padrões de Prática Médica; Algoritmos; Analgésicos Opioides/uso terapêutico; Viés; Humanos; Prescrições

Palavras-chave

Bias amplification; G-computation; Medicare beneficiaries; Monte Carlo simulation; Open payments; Opioids

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Padrões de Prática Médica / Analgésicos Opioides Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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