Andrew P. Grieve

Hybrid Frequentist/Bayesian Power and Bayesian Power in Planning Clinical Trials (eBook, PDF)

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 212
• Erscheinungstermin: 19. Juni 2022
• Englisch
• ISBN-13: 9781000590203
• Artikelnr.: 63918399

Autorenporträt

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