Grieve Andrew P (38 results)

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Paperback. Condition: 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.

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Paperback. Condition: 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

hardcover. Condition: Fine. Open Books is a nonprofit social venture that provides literacy experiences for thousands of readers each year through inspiring programs and creative capitalization of books.

Condition: New. 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 Statistic.

Paperback. Condition: 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Paperback. Condition: 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.

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Hardcover. Condition: Brand New. 1st edition. 187 pages. 9.50x6.25x0.75 inches. In Stock.

Paperback. Condition: 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.