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Methods and Applications of Longitudinal Data Analysis

Methods and Applications of Longitudinal Data Analysis

Methods and Applications of Longitudinal Data Analysis Hardback - 2015

by Liu

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Details

  • Title Methods and Applications of Longitudinal Data Analysis
  • Author Liu
  • Binding Hardback
  • Edition Hardback
  • Condition New
  • Pages 530
  • Volumes 1
  • Language ENG
  • Publisher Academic Press
  • Publication date 2015-09-08
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index
  • Bookseller's Inventory # ria9780128013427_inp
  • ISBN 9780128013427 / 0128013427
  • Weight 2.47 lbs (1.12 kg)
  • Dimensions 9.25 x 7.5 x 1.13 in (23.50 x 19.05 x 2.87 cm)
  • Category Mathematics
  • Library of Congress subjects Longitudinal method
  • Library of Congress Catalogue Number 2015944143
  • Dewey Decimal Code 519.5
  • Quantity available 480

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Reader reviews for Methods and Applications of Longitudinal Data Analysis

From the publisher

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.

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