Exposure-response modeling methods and practical implementation

Discover the Latest Statistical Approaches for Modeling Exposure-Response RelationshipsWritten by an applied statistician with extensive practical experience in drug development, Exposure-Response Modeling: Methods and Practical Implementation explores a wide range of topics in exposure-response mod...

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Detalles Bibliográficos
Otros Autores: Wang, Jixian, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton : CRC Press [2016]
Edición:1st ed
Colección:Chapman & Hall/CRC biostatistics series.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629596206719
Tabla de Contenidos:
  • Cover; Contents; Symbol Description; Preface; Chapter 1: Introduction; Chapter 2: Basic exposure and exposure-response models; Chapter 3: Dose-exposure and exposure-response models for longitudinal data; Chapter 4: Sequential and simultaneous exposure-response modeling; Chapter 5: Exposure-risk modeling for time-to-event data; Chapter 6: Modeling dynamic exposure-response relationships; Chapter 7: Bayesian modeling and model-based decision analysis; Chapter 8: Confounding bias and causal inference inexposure-response modeling
  • Chapter 9: Dose-response relationship, dose determination, and adjustmentChapter 10: Implementation using software; A: Appendix; Bibliography; Back Cover