ean 9781439881132 temática BIOLOGÍA edición 2ª año Publicación 2012 idioma INGLÉS editorial TAYLOR AND FRANCIS formato CARTONÉ 70,17 €    PEDIR   NOVEDAD

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biología

This popular book covers generalized estimating equations (GEEs), an extension of the generalized linear model when correlation is unknown. It remains the only book to focus specifically on this important method used in the analysis of longitudinal data. This edition features new methods, particularly regarding correlation structure and the interpretation of GEE models. It also presents updated computational material and now includes both Stata and R code for all the examples as well as corresponding SAS code. All data sets and code are available at CRC Press Online.

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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