Add free shipping to your order with these great books
Hybrid Frequentist/Bayesian Power and Bayesian Power in Planning Clinical Trials : Chapman & Hall/CRC Biostatistics Series - Andrew P. Grieve

Hybrid Frequentist/Bayesian Power and Bayesian Power in Planning Clinical Trials

By: Andrew P. Grieve

Hardcover | 20 June 2022

At a Glance

Hardcover


RRP $221.00

$183.75

17%OFF

or 4 interest-free payments of $45.94 with

 or 

Aims to ship in 7 to 10 business days

When will this arrive by?
Enter delivery postcode to estimate

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 trials
  • An investigation into the upper bound on average power, assurance and Bayesian power based on the prior probability of a positive treatment effect
  • Application 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 size
  • Extension of the basic approach to proof-of-concept trials with dual success criteria
  • Investigation of the connection between conditional and predictive power at an interim analysis and power and assurance
  • Introduction 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.
Industry Reviews

"This is a graduate level/practitioner book in ten chapters covering expected, average and predicted power, assurance and Bayesian power followed by a shift in focus to priors, interim predictions and multiple decision criteria. The final chapter looks at surety. The book is logically laid out, with formulae for the normal theory case, some examples, and helpful figures."
~Maia Lesosky, ISCB Book Reviews

More in Clinical Trials

Oxford Handbook of Medical Statistics : 2nd Edition - Janet L. Peacock
An Introduction to Clinical Research : Success in Medicine - Piers Page
Randomistas : How Radical Researchers Changed Our World - Andrew Leigh
Power and Sample Size in R : Chapman & Hall/CRC Biostatistics Series - Catherine M. Crespi
Handbook of Drug Screening : Drugs and the Pharmaceutical Sciences - Litao  Zhang
Veterinary Clinical Trials From Concept to Completion - Nigel Dent
Clinical Studies Management : A Practical Guide to Success - Simon  Cook
A Practical Guide to Human Research and Clinical Trials - M. U. R. Naidu