This book provides a practical introduction to unconditional approaches to planning randomised clinical trials, particularly aimed at drug development in the pharmaceutical industry. This book is aimed at providing guidance to practitioners in using average power, assurance and related concepts.
This book provides a practical introduction to unconditional approaches to planning randomised clinical trials, particularly aimed at drug development in the pharmaceutical industry. This book is aimed at providing guidance to practitioners in using average power, assurance and related concepts.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Andrew P. Grieve is a Statistical Research Fellow in the Centre of Excellence in Statistical Innovation at UCB Pharma. He is a former Chair of PSI (Statisticians in the Pharmaceutical Industry) and a past-President of the Royal Statistical Society. He has over 45 years of experience as a biostatistician working in the pharmaceutical industry and academia and has been active in most areas of pharmaceutical R&D in which statistical methods and statisticians are intimately involved, including drug discovery, pre-clinical toxicology, pharmaceutical development, pharmacokinetics and pharmacodynamics, phase I-IV of clinical development, manufacturing, health economics and clinical operations.
Inhaltsangabe
List of Figures..........................................................................................................xi List of Tables......................................................................................................... xiii Preface......................................................................................................................xv Acknowledgements..............................................................................................xix Author.....................................................................................................................xxi List of Acronyms................................................................................................ xxiii 1. Introduction......................................................................................................1 2. All Power Is Conditional Unless It's Absolute..........................................9 3. Assurance........................................................................................................33 4. Average Power in Non-Normal Settings...................................................59 5. Bayesian Power..............................................................................................75 6. Prior Distributions of Power and Sample Size........................................87 7. Interim Predictions......................................................................................101 8. Case Studies in Simulation........................................................................ 113 9. Decision Criteria in Proof-of-Concept Trials..........................................127 10. Surety and Assurance in Estimation........................................................149 References.............................................................................................................161 Appendix 1 Evaluation of a Double Normal Integral...................................171 Appendix 2 Besag's Candidate Formula.........................................................173 Index......................................................................................................................175
List of Figures..........................................................................................................xi List of Tables......................................................................................................... xiii Preface......................................................................................................................xv Acknowledgements..............................................................................................xix Author.....................................................................................................................xxi List of Acronyms................................................................................................ xxiii 1. Introduction......................................................................................................1 2. All Power Is Conditional Unless It's Absolute..........................................9 3. Assurance........................................................................................................33 4. Average Power in Non-Normal Settings...................................................59 5. Bayesian Power..............................................................................................75 6. Prior Distributions of Power and Sample Size........................................87 7. Interim Predictions......................................................................................101 8. Case Studies in Simulation........................................................................ 113 9. Decision Criteria in Proof-of-Concept Trials..........................................127 10. Surety and Assurance in Estimation........................................................149 References.............................................................................................................161 Appendix 1 Evaluation of a Double Normal Integral...................................171 Appendix 2 Besag's Candidate Formula.........................................................173 Index......................................................................................................................175
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