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Propensity score stratified MAP prior and posterior inference for incorporating information across multiple potentially heterogeneous data sources.
Zhu, Angela Yaqian; Roy, Dooti; Zhu, Zheng; Sailer, Martin Oliver.
Afiliación
  • Zhu AY; Statistics and Decision Sciences, Janssen Research & Development, Johnson & Johnson, Raritan, New Jersey, USA.
  • Roy D; Department of Biostatistics and Data Science, Boehringer Ingelheim Pharmaceuticals Inc, Ridgefield, Connecticut, USA.
  • Zhu Z; Department of Biostatistics and Data Science, Boehringer Ingelheim Pharmaceuticals Inc, Ridgefield, Connecticut, USA.
  • Sailer MO; Department of Biostatistics and Data Science, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany.
J Biopharm Stat ; 34(2): 190-204, 2024 Mar.
Article en En | MEDLINE | ID: mdl-36882957
Incorporation of external information is becoming increasingly common when designing clinical trials. Availability of multiple sources of information has inspired the development of methodologies that account for potential heterogeneity not only between the prospective trial and the pooled external data sources but also between the different external data sources themselves. Our approach proposes an intuitive way of handling such a scenario for the continuous outcomes setting by using propensity score-based stratification and then utilizing robust meta-analytic predictive priors for each stratum to incorporate the prior data to distinguish among different external data sources in each stratum. Through extensive simulations, our approach proves to be more efficient and less biased than the currently available methods. A real case study using clinical trials that study schizophrenia from multiple different sources is also included.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Puntaje de Propensión Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Biopharm Stat Asunto de la revista: FARMACOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Puntaje de Propensión Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Biopharm Stat Asunto de la revista: FARMACOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido