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Hybrid Frequentist/Bayesian Power and Bayesian Power in Planning Clinical Trials (Chapman & Hall/CRC Biostatistics Series) - Tapa blanda
Sinopsis
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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Acerca del autor
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.
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Hybrid Frequentist/Bayesian Power and Bayesian Power in Planning Clinical Trials
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Hybrid Frequentist/Bayesian Power and Bayesian Power in Planning Clinical Trials
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Hybrid Frequentist/Bayesian Power and Bayesian Power in Planning Clinical Trials
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ISBN 13: 9781032111315
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Hybrid Frequentist/Bayesian Power and Bayesian Power in Planning Clinical Trials
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Chapman and Hall/CRC, 2024
ISBN 10: 1032111313
ISBN 13: 9781032111315
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Paperback. Condición: new. Paperback. Hybrid Frequentist/Bayesian Power and Bayesian Power in Planning Clinical Trials 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 brings together recent research and sets them in a consistent framework and provides a fresh insight into how such methods can be used.Features:A focus on normal theory linking average power, expected power, predictive power, assurance, conditional Bayesian power and Bayesian power.Extensions of the concepts to binomial, and time-to-event outcomes and non-inferiority trialsAn investigation into the upper bound on average power, assurance and Bayesian power based on the prior probability of a positive treatment effectApplication of assurance to a series of trials in a development program and an introduction of the assurance of an individual trial conditional on the positive outcome of an earlier trial in the program, or to the successful outcome of an interim analysis Prior distribution of power and sample sizeExtension of the basic approach to proof-of-concept trials with dual success criteriaInvestigation of the connection between conditional and predictive power at an interim analysis and power and assuranceIntroduction of the idea of surety in sample sizing of clinical trials based on the width of the confidence intervals for the treatment effect, and an unconditional version. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781032111315
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Hybrid Frequentist/Bayesian Power and Bayesian Power in Planning Clinical Trials (Chapman & Hall/CRC Biostatistics Series)
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ISBN 13: 9781032111315
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Hybrid Frequentist/Bayesian Power and Bayesian Power in Planning Clinical Trials (Chapman & Hall/CRC Biostatistics)
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ISBN 13: 9781032111315
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Hybrid Frequentist/Bayesian Power and Bayesian Power in Planning Clinical Trials
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ISBN 13: 9781032111315
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ISBN 10: 1032111313
ISBN 13: 9781032111315
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Paperback. Condición: New. Hybrid Frequentist/Bayesian Power and Bayesian Power in Planning Clinical Trials 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 brings together recent research and sets them in a consistent framework and provides a fresh insight into how such methods can be used.Features:A focus on normal theory linking average power, expected power, predictive power, assurance, conditional Bayesian power and Bayesian power.Extensions of the concepts to binomial, and time-to-event outcomes and non-inferiority trialsAn investigation into the upper bound on average power, assurance and Bayesian power based on the prior probability of a positive treatment effectApplication of assurance to a series of trials in a development program and an introduction of the assurance of an individual trial conditional on the positive outcome of an earlier trial in the program, or to the successful outcome of an interim analysis Prior distribution of power and sample sizeExtension of the basic approach to proof-of-concept trials with dual success criteriaInvestigation of the connection between conditional and predictive power at an interim analysis and power and assuranceIntroduction of the idea of surety in sample sizing of clinical trials based on the width of the confidence intervals for the treatment effect, and an unconditional version. Nº de ref. del artículo: LU-9781032111315
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