Ergebnisse für: Longitudinal Data
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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 aut...
Longitudinal data analysis for biomedical and behavioral sciences
This innovative book sets forth and describes methods for the analysis of longitudinaldata, emphasizing applications to problems in the biomedical and behavioral sciences. Reflecting the growing importance and use of longitudinal dat...
The goal of this book is to provide an overview of statistical models
and methods that are useful in the analysis of longitudinal data; that
is, data in the form of repeated measurements on the same experimental
unit over time. The intended audience is a combination of non-
statistics gradua...
This book provides a comprehensive treatment on modeling approaches for non-Gaussian repeated measures, possibly subject to incompleteness. Without putting too much emphasis on software, the book shows how the different approaches can be implemented within the SAS software package. The text is organ...
This open access book explores panels, infrastructures, open science, and the opportunities they offer. More than that, it shares our experiences in creating them. This is not a technical manual, but an accessible guide about social sciences infrastructures, how they work, and why they are essential...
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 aut...
Longitudinal data analysis for biomedical and behavioralsciences
This innovative book sets forth and describes methods for theanalysis of longitudinaldata, emphasizing applications to problemsin the biomedical and behavioral sciences. Reflecting the growingimportance and use of longitudinal data acr...
This book provides a new analytical approach for dynamic data repeatedly measured from multiple subjects over time. Random effects account for differences across subjects. Auto-regression in response itself is often used in time series analysis. In longitudinal data analysis, a static mixed effects ...