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Modelling Longitudinal Data by Robert E. Weiss is a nonfiction available to read on EtoBox.

What is Modelling Longitudinal Data about?

Longitudinal data are ubiquitous across Medicine, Public Health, Public Policy, Psychology, Political Science, Biology, Sociology and Education, yet many longitudinal data sets remain improperly analyzed. This book teaches the art and statistical science of modern longitudinal data analysis. The author emphasizes specifying, understanding, and interpreting longitudinal data models. We inspect the longitudinal data graphically, analyze the time trend and covariates, model the covariance matrix, and then draw conclusions.Covariance models covered include random effects, autoregressive, autoregressive moving average, antedependence, factor analytic, and completely unstructured models among others. Longer expositions explore an introduction to and critique of simple non-longitudinal analyses of longitudinal data, missing data concepts, diagnostics, and simultaneous modeling of two longitudinal variables. Applications and issues for random effects models cover estimation, shrinkage, clustered data, models for binary and count data and residuals and residual plots. Shorter sections include a general discussion of how computational algorithms work, handling transformed data, and basic des

Who reads Modelling Longitudinal Data?

Author

Robert E. Weiss

Publisher

Springer Verlag New York

Published

2005

Language

EN

ISBN

9780387283142

Category

nonfiction

Subjects

Medical, Science, Business