Couverture / Jaquette

This important text has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving area of biostatistics (medical statistics). This new edition contains an additional two chapters. The first of these discusses fully parametric models for discrete repeated measures data. The second explores statistical models for time-dependent predictors where there may be feedback between the predictor and response variables.

Table des matières

• 1: Introduction


• 2: Design considerations


• 3: Exploring longitudinal data


• 4: General linear models


• 5: Parametric models for covariance structure


• 6: Analysis of variance methods


• 7: Generalized linear models for longitudinal data


• 8: Marginal models


• 9: Random effects models


• 10: Transition models


• 11: Likelihood-based methods for categorical data


• 12: Time-dependent covariates


• 13: Missing values in longitudinal data


• 14: Additional topics


• Appendix


• Bibliography


• Index

Détails