Nicht aus der Schweiz? Besuchen Sie lehmanns.de
Methods and Applications of Longitudinal Data Analysis - Xian Liu

Methods and Applications of Longitudinal Data Analysis

(Autor)

Buch | Hardcover
530 Seiten
2015
Academic Press Inc (Verlag)
978-0-12-801342-7 (ISBN)
CHF 189,95 inkl. MwSt
  • Versand in 15-20 Tagen
  • Versandkostenfrei
  • Auch auf Rechnung
  • Artikel merken
Methods and Applications of Longitudinal Data Analysis describes methods for the analysis of longitudinal data in the medical, biological and behavioral sciences. It introduces basic concepts and functions including a variety of regression models, and their practical applications across many areas of research. Statistical procedures featured within the text include:



descriptive methods for delineating trends over time
linear mixed regression models with both fixed and random effects
covariance pattern models on correlated errors
generalized estimating equations
nonlinear regression models for categorical repeated measurements
techniques for analyzing longitudinal data with non-ignorable missing observations

Emphasis is given to applications of these methods, using substantial empirical illustrations, designed to help users of statistics better analyze and understand longitudinal data.

Methods and Applications of Longitudinal Data Analysis equips both graduate students and professionals to confidently apply longitudinal data analysis to their particular discipline. It also provides a valuable reference source for applied statisticians, demographers and other quantitative methodologists.

1 Introduction2 Traditional Methods of Longitudinal Data Analysis3 Linear Mixed-effects Models4 Restricted Maximum Likelihood and Inference of Random Effects in Linear Mixed Models5 Patterns of Residual Covariance Structure6 Residual and Influence Diagnostics7 Special Topics on Linear Mixed Models 8 Generalized Linear Mixed Models on Nonlinear Longitudinal Data9 Generalized Estimating Equations Models (GEEs)10 Mixed-effects Regression Model for Binary Longitudinal Data11 Mixed-effects Multinomial Logit Model for Nominal Outcomes12 Longitudinal Transition Models for Categorical Response Data13 Latent Growth, Latent Growth Mixture, and Group-based Models14 Methods for Handling Missing DataAppendix A: Orthogonal PolynomialsAppendix B: The Delta Method Appendix C: Quasi-likelihood Functions and PropertiesAppendix D: Model Specification and SAS Program for Random Coefficient Multinomial Logit Model on Health States among Older AmericansReferencesSubject Index

Verlagsort San Diego
Sprache englisch
Maße 191 x 235 mm
Gewicht 1110 g
Themenwelt Mathematik / Informatik Mathematik Algebra
Mathematik / Informatik Mathematik Analysis
ISBN-10 0-12-801342-7 / 0128013427
ISBN-13 978-0-12-801342-7 / 9780128013427
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich