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Design and Analysis of Cross-Over Trials, Second Edition
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Table of Contents

INTRODUCTION

What is a Cross-Over Trial?

With which Sort of Cross-Over Trial are We Concerned?

Why Do Cross-Over Trials Need Special Consideration?

A Brief History

Notation, Models and Analysis

Aims of this Book

Structure of the Book

THE 2 x 2 CROSS-OVER TRIAL

Introduction

Plotting the Data

The Analysis Using t-Tests

Sample Size Calculations

The Analysis of Variance

Aliasing of Effects

Consequences of preliminary testing

Analyzing the residuals

A Bayesian Analysis of the 2 x 2 Trial

The Use of Baseline Measurements

The Use of Covariates

Nonparametric Analysis

Binary Data

HIGHER-ORDER DESIGNS FOR TWO TREATMENTS

Introduction

’Optimal’ Designs

Balaam’s Design for Two Treatments

The Effect of Preliminary Testing in Balaam’s Design

Three-Period Designs with Two Sequences

Three-Period Designs with Four Sequences

A Three-Period Six-Sequence Design

Which Three-Period Design to Use?

Four-Period Designs with Two Sequences

Four-Period Designs with Four Sequences

Four-Period Designs with Six Sequences

Which Four-Period Design to Use?

Which Two-Treatment Design to Use?

DESIGNING CROSS-OVER TRIALS FOR THREE OR MORE TREATMENTS

Introduction

Variance-Balanced Designs

Optimality Results for Cross-Over Designs

Which Variance Balanced Design to Use?

Partially Balanced Designs

Comparing Test Treatments to a Control

Factorial Treatment Combinations

Extending the Simple Model for Carry-Over Effects

Computer Search Algorithms

ANALYSIS OF CONTINUOUS DATA

Introduction

The Fixed Subject Effects Model

The Random Subject Effects Model

Analyses for Higher-Order Two-Treatment Designs

The General Linear Mixed Model

Analysis of Repeated Measurements within Periods

Cross-Over Data as Repeated Measurements

Case Study: an Analysis of a Trial with Many Periods

ANALYSIS OF CATEGORICAL DATA

Introduction

Binary Data: Subject Effect Models

Binary Data: Marginal Models

Categorical Data

Further Topics

BIOEQUIVALENCE TRIALS

What is Bioequivalence

Testing for Average Bioequivalence

Power and Sample Size for ABE in the 2 x 2 Design

Individual Bioequivalence

Population Bioequivalence

ABE for a Replicate Design

Kullback–Leibler Divergence for Evaluating Bioequivalence

Modelling Pharmacokinetic Data

APPENDICES

Least Squares Estimation

SAS Code for Assessing ABEm IBE, and PBE in Replicate Cross-Over Trials

REFERENCES

Reviews

"In the second edition, updated from the original published in 1989, the authors have added discussions of new more comprehensive (downloadable) datasets and some additional topics... Substantially updated with more than 130 new references, the book has been thoroughly modernized to reflect new developments in this area. Among the new material added to the book are a chapter on bioequivalence and a discussion of new methods for longitudinal and categorical data. This book continues to be a recommended choice as a valuable reference for clinical statisticians and those who study medical trials where treatments through cross-over design are a feasible approach. For those who already own the first edition, updating to the second will help keep you current on recent developments in this area." -Journal of the American Statistics Association, March 2004 Praise for the First Edition: ..."this book will remain the standard reference on the subject for decades to come." -Mathematical Gazette ..."a refreshing mixture of theory and practice...This book will be useful to all medical statisticians and anyone else involved in cross-over trials. It is pitched at a level suitable not only for practitioners, but for senior and postgraduate students as well." -Short Book Reviews of the ISI

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