TY - JOUR
AU1 - Hilbe, Joseph M.
AU2 - 
AB - Journal of Statistical Software JSS April 2009, Volume 30, Book Review 3. http://www.jstatsoft.org/ Reviewer: Joseph M. Hilbe Jet Propulsion Laboratory, California Institute of Technology Andrew Gelman and Jennifer Hill Cambridge University Press, Cambridge, UK, 2007. ISBN 978-0-521-68689-1. 625 pp. USD 69.95 (P). http://www.stat.columbia.edu/~gelman/arm/ Introductory comments Gelman and Hill's text is one of the most outstanding statistical publications of which I am aware. I am pleased that I had the opportunity to read it. The book is a member of Cambridge University Press's Analytical Methods for Social Research series. The text, which is how I shall henceforth refer to Gelman and Hill's text, is general work on linear models, with an emphasis on multilevel or hiearchical models. It uses R throughout the book for examples, and is an excellent teaching guide for learning how to employ R for statistical modeling. This book is unlike many other texts on multilevel and mixed models. It guides the reader from basic linear modeling to complex hieracrchical models, including Bayesian approaches. The text discusses nearly every aspect of the modeling process, from basic data entry concerns and hypothesis testing, to the use of simulation, model checking techniques, and methods of handling missing data. It 
TI - Data Analysis Using Regression and Multilevel/Hierarchical Models
JF - Journal of Statistical Software
DO - 10.18637/jss.v030.b03
DA - 2009-01-01
UR - https://www.deepdyve.com/lp/unpaywall/data-analysis-using-regression-and-multilevel-hierarchical-models-zBEQcWIeqg
DP - DeepDyve
ER -