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Discussion of "A formal causal interpretation of the case-crossover design" by Zach Shahn, Miguel A. Hernan, and James M. Robins.
Pfeiffer, Ruth M; Gail, Mitchell H.
Afiliación
  • Pfeiffer RM; National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA.
  • Gail MH; National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA.
Biometrics ; 79(2): 1346-1348, 2023 06.
Article en En | MEDLINE | ID: mdl-36121028
ABSTRACT
Shahn, Hernan, and Robins give conditions under which estimates from a case-crossover analysis converge to the desired causal relative risk times a bias factor, and they discuss conditions needed to have small bias. To simplify the problem, we discuss only two exposure times and rely on randomized exposure assignments, thereby avoiding the need for potential outcome notation. We identify many, but not all, of the conditions discussed by Shahn et al. in this simple analysis.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Pájaros Cantores Tipo de estudio: Clinical_trials / Etiology_studies / Prognostic_studies Límite: Animals Idioma: En Revista: Biometrics Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Pájaros Cantores Tipo de estudio: Clinical_trials / Etiology_studies / Prognostic_studies Límite: Animals Idioma: En Revista: Biometrics Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos