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Preface. <p>List of Contributors.</p> <p>Introduction (R. L. Chambers & C. J. Skinner).</p> <p>PART A: APPROACHES TO INFERENCE.</p> <p>Introduction to Part A (R. L.Chambers).</p> <p>Design-based and Model-based Methods for Estimating Model Parameters(David A. Binder and Georgia R. Roberts).</p> <p>The Bayesian Approach to Sample Survey Inference (Roderick J. Little).</p> <p>Interpreting a Sample as Evidence about a Finite Population (Richard Royall).</p> <p>PART B: CATEGORICAL RESPONSE DATA.</p> <p>Introduction to Part B (C. J.Skinner).</p> <p>Analysis of Categorical Response Data from Complex Surveys: an Appraisal and Update (J. N. K. Rao and D. R. Thomas).</p> <p>Fitting Logistic Regression Models in Case-Control Studies with Complex Sampling (Alastair Scott and Chris Wild).</p> <p>PART C: CONTINUOUS AND GENERAL RESPONSE DATA.</p> <p>Introduction to Part C (R. L.Chambers).</p> <p>Graphical Displays of Complex Survey Data through Kernel Smoothing (D. R. Bellhouse, C. M. Goia, and J. E. Stafford)</p> <p>Nonparametric Regression with Complex Survey Data (R. L. Chambers, A. H. Dorfman and M. Yu. Sverchkov).</p> <p>Fitting Generalized Linear Models under Informative Sampling (Danny Pfeffermann and M. Yu. Sverchkov).</p> <p>PART D: LONGITUDINAL DATA.</p> <p>Introduction to Part D (C. J.Skinner).</p> <p>Random Effects Models for Longitudinal Survey Data (C. J.Skinner and D. J.Holmes).</p> <p>Event History Analysis and Longitudinal Surveys (J. F. Lawless).</p> <p>Applying Heterogeneous Transition Models in Labour Economics: the Role of Youth Training in Labour Market Transitions (Fabrizia Mealli and Stephen Pudney).</p> <p>PART E: INCOMPLETE DATA.</p> <p>Introduction to Part E (R. L.Chambers).</p> <p>Bayesian Methods for Unit and Item Nonresponse (Roderick J. Little).</p> <p>Estimation for Multiple Phase Samples (Wayne A. Fuller).</p> <p>Analysis Combining Survey and Geographically Aggregated Data (D. G. Steel, M. Tranmer and D. Holt).</p> <p>References.</p> <p>T. M. F.Smith: Publications up to 2002.</p> <p>Author Index.</p> <p>Subject Index.</p>

<p><strong>R. L. Chambers</strong> is the editor of <em>Analysis of Survey Data</em>, published by Wiley. <p><strong>C. J. Skinner</strong> is the editor of <em>Analysis of Survey Data</em>, published by Wiley.

Recent years have seen a sharp increase in the application of sophisticated statistical modelling methods to sample survey data. <i>Analysis of Survey Data</i> aims to provide a solid basis for the statistical theory underpinning these applications. This book brings together two key statistical traditions, statistical modelling - such as regression analysis - and sample survey methods, as used for sample design and estimation. <ul> <li>Provides broad coverage of statistical methodology used in the analysis of survey data.</li> <li>Discusses the theoretical foundations of this methodology from a range of perspectives.</li> <li>Covers of a wide range of techniques, including categorical data analysis, generalized linear models, and longitudinal data analysis.</li> <li>Addresses issues of complex sampling and incomplete data.</li> <li>Features examples showing how methods are used in practice.</li> <li>Each chapter is written by a leading expert in the field.</li> <li>Includes an up-to-date bibliography.</li> </ul> <i>Analysis of Survey Data</i> is aimed primarily at statisticians interested in methods of analysing sample survey data. It should also provide a useful reference to many other survey data analysts in the social sciences and in the public and private sectors.

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