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Event History Analysis with R
- By Göran Broström.
Published April 2012
With an emphasis on social science applications, this book presents an introduction to survival and event history analysis. It focuses on practical applications in the fields of demography, epidemiology, and econometrics. The text includes a wide range of real examples, with data available online…
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Multilevel and Longitudinal Modeling Using Stata, Volume II
Categorical Responses, Counts, and Survival, Third Edition
- By Sophia Rabe-Hesketh, and Anders Skrondal.
Published February 2012
Volume II is devoted to generalized linear mixed models for binary, categorical, count, and survival outcomes. The second volume has seven chapters also organized in four parts. The first three parts in volume II cover models for categorical responses, including binary, ordinal, and nominal (a new…
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Informative Hypotheses
Theory and Practice for Behavioral and Social Scientists
- By Herbert Hoijtink.
Published October 2011
When scientists formulate their theories, expectations, and hypotheses, they often use statements like: ``I expect mean A to be bigger than means B and C"; ``I expect that the relation between Y and both X1 and X2 is positive"; and ``I expect the relation between Y and X1 to be stronger than the…
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Analysis of Questionnaire Data with R
- By Bruno Falissard.
Published September 2011
While theoretical statistics relies primarily on mathematics and hypothetical situations, statistical practice is a translation of a question formulated by a researcher into a series of variables linked by a statistical tool. As with written material, there are almost always differences between the…
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Modern Statistics for the Social and Behavioral Sciences
A Practical Introduction
- By Rand Wilcox.
Published August 2011
In addition to learning how to apply classic statistical methods, students need to understand when these methods perform well, and when and why they can be highly unsatisfactory. Modern Statistics for the Social and Behavioral Sciences illustrates how to use R to apply both standard and modern…
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Practical Multivariate Analysis, Fifth Edition
- By Abdelmonem Afifi, Susanne May and Virginia A. Clark.
Published July 2011
This new version of the bestselling Computer-Aided Multivariate Analysis has been appropriately renamed to better characterize the nature of the book. Taking into account novel multivariate analyses as well as new options for many standard methods, Practical Multivariate Analysis, Fifth Edition…
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Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition
- By David J. Sheskin.
Published April 2011
Following in the footsteps of its bestselling predecessors, the Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition provides researchers, teachers, and students with an all-inclusive reference on univariate, bivariate, and multivariate statistical procedures.
New in the…
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Multivariate Generalized Linear Mixed Models Using R
- By Damon M. Berridge, and Robert Crouchley.
Published April 2011
Multivariate Generalized Linear Mixed Models Using R presents robust and methodologically sound models for analyzing large and complex data sets, enabling readers to answer increasingly complex research questions. The book applies the principles of modeling to longitudinal data from panel and…
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Multilevel and Longitudinal Modeling Using Stata, Volumes I and II, Third Edition
- By Sophia Rabe-Hesketh, and Anders Skrondal.
Published February 2011
This book examines Stata's treatment of generalized linear mixed models, also known as multilevel or hierarchical models. These models are "mixed" because they allow fixed and random effects, and they are "generalized" because they are appropriate for continuous Gaussian responses as well as binary…
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Multilevel and Longitudinal Modeling Using Stata, Volume I
Continuous Responses, Third Edition
- By Sophia Rabe-Hesketh, and Anders Skrondal.
Published February 2011
Volume I is devoted to continuous Gaussian linear mixed models and has nine chapters. The chapters are organized in four parts. The first part provides a review of the methods of linear regression. The second part provides an in-depth coverage of the two-level models, the simplest extensions of a…
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