Generalized estimating equations

著者

• Hardin, James W. (James William)
• Hilbe, Joseph M.

書誌事項

Generalized estimating equations

James W. Hardin, Joseph M. Hilbe

Chapman & Hall/CRC, c2003

注記

Includes bibliographical references (p. 215-218) and index

内容説明・目次

内容説明

Although powerful and flexible, the method of generalized linear models (GLM) is limited in its ability to accurately deal with longitudinal and clustered data. Developed specifically to accommodate these data types, the method of Generalized Estimating Equations (GEE) extends the GLM algorithm to accommodate the correlated data encountered in health research, social science, biology, and other related fields. Generalized Estimating Equations provides the first complete treatment of GEE methodology in all of its variations. After introducing the subject and reviewing GLM, the authors examine the different varieties of generalized estimating equations and compare them with other methods, such as fixed and random effects models. The treatment then moves to residual analysis and goodness of fit, demonstrating many of the graphical and statistical techniques applicable to GEE analysis. With its careful balance of origins, applications, relationships, and interpretation, this book offers a unique opportunity to gain a full understanding of GEE methods, from their foundations to their implementation. While equally valuable to theorists, it includes the mathematical and algorithmic detail researchers need to put GEE into practice.

目次

INTRODUCTION Notational Conventions A Short Review of Generalized Linear Models Software Exercises MODEL CONSTRUCTION AND ESTIMATING EQUATIONS Independent Data Estimating the Variance of the Estimates Panel Data Estimation Summary Exercises GENERALIZED ESTIMATING EQUATIONS Population-Averaged (PA) and Subject-Specific (SS) Models The PA-GEE for GLMs The SS-GEE for GLMs The GEE2 for GLMs GEEs for Extensions of GLMs Further Developments and Applications Missing Data Choosing an Appropriate Model Summary Exercises RESIDUALS, DIAGNOSTICS, AND TESTING Criterion Measures Analysis of Residuals Deletion Diagnostics Goodness of Fit (Population-Averaged Models) Testing Coefficients in the PA-GEE Model Assessing the MCAR Assumption of PA-GEE Models Summary Exercises PROGRAMS AND DATASETS Programs Datasets References Author Index Subject Index

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詳細情報

• NII書誌ID(NCID): BA59981096
• ISBN:
  • 1584883073
• LCCN: 2002067404
• 出版国コード: us
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: Boca Raton ; Washington, D.C.
• ページ数/冊数: xiii, 222 p.
• 大きさ: 24 cm
• 件名:
  • LCSH : Generalized estimating equations