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Fixed Effects Regression Methods for Longitudinal Data Using SAS®

Fixed Effects Regression Methods for Longitudinal Data Using SAS® BOOK REVIEWS 157 nondeterministic methods are probabilistic methods “that replace traditional methodology: use of latent variables, comparison to systems dynamic mod- deterministic approaches for making design decisions with a new risk-based eling, estimating analysis of variance (ANOVA) models as SEM’s, compar- approach that uses rigorous models to quantify uncertainty and assess safety” ing groups using SEM’s, modeling manifest variables in longitudinal designs. (Preface, p. ix). Applications in Part 3 of the handbook are limited to the first There also are papers on modeling intraindividual variability in biobehavioral three industries listed above. Participants as authors include engineers and sci- developmental processes, causal translation in biological hypotheses, and latent variable models for natural selection. entists, as well as statisticians, from industry and from government agencies The best chapter of the book is the final chapter, which compares the three such as NASA, plus the usual coterie of academic participants. Altogether popular SEM software packages: Amos, EQS, and LISREL. The 40-page chap- 76 authors and co-authors have assembled 45 different chapters. ter explores every aspect of SEM modeling for each of the three systems. The first seven chapters constitute Part 1, “Status and Future of Nondeter- ministic Approaches” (NDA’s). These chapters focus http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Technometrics Taylor & Francis

Fixed Effects Regression Methods for Longitudinal Data Using SAS®

Technometrics , Volume 48 (1): 1 – Feb 1, 2006
2 pages

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References (6)

Publisher
Taylor & Francis
Copyright
© American Statistical Association and the American Society for Quality
ISSN
1537-2723
eISSN
0040-1706
DOI
10.1198/tech.2006.s370
Publisher site
See Article on Publisher Site

Abstract

BOOK REVIEWS 157 nondeterministic methods are probabilistic methods “that replace traditional methodology: use of latent variables, comparison to systems dynamic mod- deterministic approaches for making design decisions with a new risk-based eling, estimating analysis of variance (ANOVA) models as SEM’s, compar- approach that uses rigorous models to quantify uncertainty and assess safety” ing groups using SEM’s, modeling manifest variables in longitudinal designs. (Preface, p. ix). Applications in Part 3 of the handbook are limited to the first There also are papers on modeling intraindividual variability in biobehavioral three industries listed above. Participants as authors include engineers and sci- developmental processes, causal translation in biological hypotheses, and latent variable models for natural selection. entists, as well as statisticians, from industry and from government agencies The best chapter of the book is the final chapter, which compares the three such as NASA, plus the usual coterie of academic participants. Altogether popular SEM software packages: Amos, EQS, and LISREL. The 40-page chap- 76 authors and co-authors have assembled 45 different chapters. ter explores every aspect of SEM modeling for each of the three systems. The first seven chapters constitute Part 1, “Status and Future of Nondeter- ministic Approaches” (NDA’s). These chapters focus

Journal

TechnometricsTaylor & Francis

Published: Feb 1, 2006

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