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.
