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Comments on "sensitivity of estimands in clinical trials with imperfect compliance" by Chen and Heitjan.
Baker, Stuart G; Lindeman, Karen S.
Afiliação
  • Baker SG; National Cancer Institute, Bethesda, MD, 20892-9789, USA.
  • Lindeman KS; Department of Anesthesiology, Johns Hopkins Medical Institutions, Baltimore, USA.
Int J Biostat ; 2024 Jul 29.
Article em En | MEDLINE | ID: mdl-39069742
ABSTRACT
Chen and Heitjan (Sensitivity of estimands in clinical trials with imperfect compliance. Int J Biostat. 2023) used linear extrapolation to estimate the population average causal effect (PACE) from the complier average causal effect (CACE) in multiple randomized trials with all-or-none compliance. For extrapolating from CACE to PACE in this setting and in the paired availability design involving different availabilities of treatment among before-and-after studies, we recommend the sensitivity analysis in Baker and Lindeman (J Causal Inference, 2013) because it is not restricted to a linear model, as it involves various random effect and trend models.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Int J Biostat Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Int J Biostat Ano de publicação: 2024 Tipo de documento: Article