مدل‌سازی و تحلیل داده‌های طولی ۲۰۲۴
Modeling and Analysis of Longitudinal Data 2024

"Longitudinal data consist of a series of repeated observations of the same subjects over an extended time frame and are thus useful for measuring change. Such studies arise in a variety of fields, such as health sciences, genomic studies, experimental physics, sociology, sports and student enrollment in universities. Many challenges can arise in longitudinal studies. For example, in health studies, the intrasubject correlation of responses must be accounted for, covariates can vary with time, and bias can arise due to patients dropping out of the study. This volume highlights recent and classical work on modeling and analysis of longitudinal data and their utility for improving society. This volume is anticipated to bring modern and classical content to the theme and to be a useful resource for students and advanced researchers in statistics, mathematics, social sciences, public health, and other fields." -- Preface, page xv.