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The article lists books reviewed in this issue of the periodical including "Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences," by B.S. Everitt, "SAS and R: Data Management, Statistical Analysis, and Graphics," by K. Kleinman and N.J. Horton and "Design of Experiments: an Introduction based on Linear Models," by M.D. Morris.

The article reviews the book "Meta-Analysis and Combining Information in Genetics and Genomics," edited by R. Guerra and D. R. Goldstein.

The article reviews the book "The R Book," by M. J. Crawley.

The article reviews the book "Introduction to Design of Experiments with JMP Examples," 3rd edn, by J. Goupy and L. Creighton.

Books reviewed in this issue. Survival and Event History Analysis: a Process Point of View O. O. Aalen, O. Borgan and H. K. Gjessing Applied Spatial Data Analysis with R Roger S. Bivand, Edzer J. Pebesma and Virgilio Gómez-Rubio Introduction to Scientific Programming and Simulation Using R O. Jones, R. Maillardet and A. Robinson Simulation and Monte Carlo, with Applications in Finance and MCMC J. S. Dagpunar [ABSTRACT FROM AUTHOR]

The article reviews the book "DNA Methylation Microarrays: Experimental Design and Statistical Analysis," by S.-C. Wang and A. Petronis.

The article reviews the book "Presenting Medical Statistics From Proposal to Publication," by J. Peacock and S. Kerry.

The article reviews the book "Introducing Monte Carlo Methods with R," by C.P. Robert and G. Casella.

The article reviews the book "Model Based Inference in the Life Sciences: A Primer on Evidence," by D. R. Anderson.

Books reviewed in this issue. Statistical and Computational Pharmacogenomics Rongling Wu and Ming Lin Business Statistics for Competitive Advantage with Excel 2007: Basics, Model Building, and Cases Cynthia Fraser Bayesian Analysis for the Social Sciences Simon Jackman [ABSTRACT FROM AUTHOR]

The article reviews the book "Correspondence Analysis and Data Coding With Java and R," by F. Murtagh.