Save 50% on book bundles
Immediately download your ebook while waiting for your print delivery. No promo code is needed.
Back to School Savings: Save up to 30% on print books and eBooks. No promo code needed.
Back to School Savings: Save up to 30%
1st Edition - September 1, 2015
Author: Xian Liu
Methods and Applications of Longitudinal Data Analysis describes methods for the analysis of longitudinal data in the medical, biological and behavioral sciences. It introduces… Read more
Immediately download your ebook while waiting for your print delivery. No promo code is needed.
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.
Statisticians, demographers, policymakers and insurance companies involved in longitudinal data analysis, as well as professionals, academics and graduate students of various disciplines including sociology, population studies, economics, psychology, geography and political science, biology, medicine and public health. Applied statisticians and other quantitative methodologists can also use the book as a convenient reference.
XL