|  | Lui, Kung-Jong
Binary Data Analysis of Randomized Clinical Trials with Noncompliance
Statistics in Practice
 1. Edition March 2011
87.90 Euro
2011. 330 Pages, Hardcover
ISBN 978-0-470-66095-9 - John Wiley & Sons
|
Sample Chapter
| Buy now   
E-Books are also available on all known E-Book shops.
|
| Short description
This book provides a systematic and organized approach to analyzing data for a RCT with noncompliance under the most frequently-encountered situations, including parallel sampling, stratified sampling, cluster sampling, parallel sampling with subsequent missing outcomes, and a series of dependent binomial sampling for repeated measurements. Sample size calculation formulae for testing equality, non-inferiority and equivalence based on different indices under various sampling designs are featured. Instructive and easily understood, this book allows students to easily appreciate the logics and the ideas behind the development of test procedures and estimators.
From the contents
Preface. A bout the author.
1 Randomized clinical trials with noncompliance: issues, definitions and problems of commonly used analyses.
1.1 Randomized encouragement design (RED).
1.2 Randomized consent designs.
1.3 Treatment efficacy versus programmatic effectiveness.
1.4 Definitions of commonly used terms and assumptions.
1.5 Mmost commonly used analyses for a RCT with noncompliance.
Exercises.
2 Randomized clinical trials with noncompliance under parallel groups design.
2.1 Testing superiority.
2.2 Testing noninferiority.
2.3 Testing equivalence.
2.4 Interval estimation.
2.5 Sample size determination.
2.6 Risk model-based approach.
Exercises.
Appendix.
3 Randomized clinical trials with noncompliance in stratified sampling.
3.1 Testing superiority.
3.2 Testing noninferiority.
3.3 Testing equivalence .
3.4 Interval estimation.
3.5 Test homogeneity of index in large strata.
Exercises.
Appendix.
4 Randomized clinical trials with noncompliance under cluster sampling.
4.1 Testing superiority.
4.2 Testing noninferiority.
4.3 Testing equivalence.
4.4 Interval estimation.
4.5 Sample size determination.
4.6 An alternative randomization-based approach.
Exercises.
Appendix.
5 Randomized clinical trials with both noncompliance and subsequent missing outcomes.
5.1 Testing superiority.
5.2 Testing noninferiority.
5.3 Testing equivalence.
5.4 Interval estimation.
5.5 Sample size determination.
5.6 An alternative missing at random (MAR) model.
Exercises.
Appendix.
6 Randomized clinical trials with noncompliance in repeated binary measurements.
6.1 Testing superiority.
6.2 Testing noninferiority.
6.3 Testing equivalence.
6.4 Interval estimation.
6.5 Sample size determination.
Exercises.
References.
Index.
|
|
|
|
