Table of Contents

Preface
Guide to Notation
1. Introduction
2. Regression and Attenuation
3. Regression Calibration
4. Simulation Extrapolation
5. Instrumental Variables
6. Functional Methods
7. Likelihood and Quasilikelihood
8. Bayesian Methods
9. Semiparametric Methods
10. Unknown Link Functions
11. Hypothesis Testing
12. Density Estimation and Nonparametric Regression
13. Response Variable Error
14. Other Topics
Appendix: Fitting Methods and Models
References
Author Index
Subject Index

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"I enjoyed reading this book and would recommend it to statisticians for their library." -Journal of Quality Technology ..."This present book is an essential purchase for the library and an excellent purchase for individuals." -International Statistical Institute ..."the book provides an up-to-date introduction to the application of MCMC methods. It is both readable and coherent and should form an essential addition to any modern applied statistician." -The Statistician "It has been a pleasure reading this book...the range of the authors appreciation of the actual issues and challenges pertaining to particular data sets, and extensive theoretical justification of estimation techniques is very impressive." -Biometrics