{"product_id":"bayesian-methods-in-pharmaceutical-research-9781032241524","title":"Bayesian Methods in Pharmaceutical Research","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eSince the early 2000s, there has been increasing interest within the pharmaceutical industry in the application of Bayesian methods at various stages of the research, development, manufacturing, and health economic evaluation of new health care interventions. In 2010, the first Applied Bayesian Biostatistics conference was held, with the primary objective to stimulate the practical implementation of Bayesian statistics, and to promote the added-value for accelerating the discovery and the delivery of new cures to patients.\u003c\/p\u003e\u003cp\u003eThis book is a synthesis of the conferences and debates, providing an overview of Bayesian methods applied to nearly all stages of research and development, from early discovery to portfolio management. It highlights the value associated with sharing a vision with the regulatory authorities, academia, and pharmaceutical industry, with a view to setting up a common strategy for the appropriate use of Bayesian statistics for the benefit of patients. \u003c\/p\u003e\u003cp\u003eThe\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\"The book is full of interesting real examples across the chapters, which not only makes the reading fun but also demonstrates the practical usefulness of Bayesian methods in pharmaceutical research. In synthesis, this is a very well written book, which can be used as self-learning material or as a main reference for experts and practitioners.\"\u003c\/p\u003e\u003cp\u003e- Pablo Emilio Verde, \u003ci\u003eInternational Society for Clinical Biostatistics\u003c\/i\u003e, 72, 2021\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003eI Introductory part\u003c\/strong\u003e \u003c\/p\u003e\u003cp\u003eChapter 1: Bayesian Background \u003c\/p\u003e\u003cp\u003eChapter 2: FDA Regulatory Acceptance of Bayesian Statistics\u003c\/p\u003e\u003cp\u003eChapter 3: Bayesian Tail Probabilities for Decision Making \u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eII Clinical development\u003c\/strong\u003e \u003c\/p\u003e\u003cp\u003eChapter 4: Clinical Development in the Light of Bayesian Statistics \u003c\/p\u003e\u003cp\u003eChapter 5: Prior Elicitation\u003c\/p\u003e\u003cp\u003eChapter 6: Use of Historical Data \u003c\/p\u003e\u003cp\u003eChapter 7: Dose Ranging Studies and Dose Determination \u003c\/p\u003e\u003cp\u003eChapter 8: Bayesian Adaptive Designs in Drug Development \u003c\/p\u003e\u003cp\u003eChapter 9: Bayesian Methods for Longitudinal Data with Missingness\u003c\/p\u003e\u003cp\u003eChapter 10: Survival Analysis and Censored Data \u003c\/p\u003e\u003cp\u003eChapter 11: Benefit of Bayesian Clustering of Longitudinal Data: Study of Cognitive Decline for Precision Medicine \u003c\/p\u003e\u003cp\u003eChapter 12: Bayesian Frameworks for Rare Disease Clinical Development Programs \u003c\/p\u003e\u003cp\u003eChapter 13: Bayesian Hierarchical Models for Data Extrapolation and Analysis in Pediatric Disease Clinical Trials \u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eIII Post-marketing\u003c\/strong\u003e \u003c\/p\u003e\u003cp\u003eChapter 14: Bayesian Methods for Meta-Analysis\u003c\/p\u003e\u003cp\u003eChapter 15: Economic Evaluation and Cost-Effectiveness of Health Care Interventions\u003c\/p\u003e\u003cp\u003eChapter 16: Bayesian Modeling for Economic Evaluation Using \"Real World Evidence\"\u003c\/p\u003e\u003cp\u003eChapter 17: Bayesian Benefit-Risk Evaluation in Pharmaceutical Research \u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eIV Product development and manufacturing\u003c\/strong\u003e \u003c\/p\u003e\u003cp\u003eChapter 18: Product Development and Manufacturing \u003c\/p\u003e\u003cp\u003eChapter 19: Process Development and Validation \u003c\/p\u003e\u003cp\u003eChapter 20: Analytical Method and Assay \u003c\/p\u003e\u003cp\u003eChapter 21: Bayesian Methods for the Design and Analysis of Stability Studies \u003c\/p\u003e\u003cp\u003eChapter 22: Content Uniformity Testing \u003c\/p\u003e\u003cp\u003eChapter 23: Bayesian methods for in vitro dissolution drug testing and similarity comparisons \u003c\/p\u003e\u003cp\u003eChapter 24: Bayesian Statistics for Manufacturing \u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eV Additional topics\u003c\/strong\u003e \u003c\/p\u003e\u003cp\u003eChapter 25: Bayesian Statistical Methodology in the Medical Device Industry \u003c\/p\u003e\u003cp\u003eChapter 26: Program and Portfolio Decision-Making \u003c\/p\u003e","brand":"CRC Press","offers":[{"title":"Default Title","offer_id":51018918789463,"sku":"9781032241524","price":999.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781032241524.jpg?v=1750778657","url":"https:\/\/bookcurl.com\/products\/bayesian-methods-in-pharmaceutical-research-9781032241524","provider":"Book Curl","version":"1.0","type":"link"}