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Assessing the robustness of results from clinical trials and meta-analyses with the fragility index.
Lin, Lifeng; Xing, Aiwen; Chu, Haitao; Murad, M Hassan; Xu, Chang; Baer, Benjamin R; Wells, Martin T; Sanchez-Ramos, Luis.
Afiliación
  • Lin L; Department of Epidemiology and Biostatistics, University of Arizona, Tucson, AZ; Department of Statistics, Florida State University, Tallahassee, FL. Electronic address: lifenglin@arizona.edu.
  • Xing A; Department of Statistics, Florida State University, Tallahassee, FL.
  • Chu H; Statistical Research and Innovation, Global Biometrics and Data Management, Pfizer Inc, New York, NY; Division of Biostatistics, University of Minnesota School of Public Health, Minneapolis, MN.
  • Murad MH; Evidence-Based Practice Center, Mayo Clinic, Rochester, MN.
  • Xu C; Ministry of Education Key Laboratory for Population Health Across-Life Cycle & Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Anhui, China; School of Public Health, Anhui Medical University, Anhui, China.
  • Baer BR; Department of Biostatistics and Computational Biology, University of Rochester, Rochester, NY.
  • Wells MT; Department of Statistics and Data Science, Cornell University, Ithaca, NY.
  • Sanchez-Ramos L; Department of Obstetrics and Gynecology, College of Medicine, University of Florida, Jacksonville, FL.
Am J Obstet Gynecol ; 228(3): 276-282, 2023 03.
Article en En | MEDLINE | ID: mdl-36084702

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Probabilidad Tipo de estudio: Systematic_reviews Límite: Humans Idioma: En Revista: Am J Obstet Gynecol Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Probabilidad Tipo de estudio: Systematic_reviews Límite: Humans Idioma: En Revista: Am J Obstet Gynecol Año: 2023 Tipo del documento: Article