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Linear Mixed Models
Simplifying the often confusing array of software programs for fitting linear mixed models (LMMs), Linear Mixed Models: A Practical Guide Using Statistical Software provides a basic introduction to primary concepts, notation, software implementation, model interpretation, and visualization of clustered and longitudinal data. This easy-to-nav
Linear Mixed Models
Highly recommended by JASA, Technometrics, and other journals, the first edition of this bestseller showed how to easily perform complex linear mixed model (LMM) analyses via a variety of software programs. Linear Mixed Models: A Practical Guide Using Statistical Software, Second Edition continues to lead readers step by step through the process of fitting LMMs. This second edition covers additional topics on the application of LMMs that are valuable for data analysts in all fields. It also updates the case studies using the latest versions of the software procedures and provides up-to-date information on the options and features of the software procedures available for fitting LMMs in SAS, ...
Selecting Statistical Techniques for Social Science Data
Take the guesswork out of selecting a statistical technique for social science data! This guide will help you select from the vast array of statistical techniques that can be applied in a particular analysis. It addresses social scientists, data analysts, and graduate students who have some knowledge of social science statistics and who want a systematic, highly condensed overview of many of the statistical techniques in current use and the purposes for which each is intended. Originally published in 1971, this guide has been updated to incorporate current statistical and analytical developments. In addition, you'll find a summary of how each of the techniques is provided through SAS software.
Data Preparation for Analytics Using SAS
Text addresses such tasks as: viewing analytic data preparation in the context of its business environment, identifying the specifics of predictive modeling for data mart creation, understanding the concepts and considerations of data preparation for time series analysis, and using SAS procedures for scoring.
Validating Clinical Trial Data Reporting with SAS
This indispensable guide focuses on validating programs written to support the clinical trial process from after the data collection stage to generating reports and submitting data and output to the Food and Drug Administration.
Everyday Chemicals
What is the likelihood that common chemicals such as bisphenol-A, which is found in plastic water bottles, are harming us? Should shoppers be concerned about pesticide residues on fruits and vegetables in the supermarket produce aisle? Are we risking adverse health effects when we use insect repellent that contains DEET or slather on sunscreen? Modern life requires us to navigate an endless sea of chemicals. How do we know whether we need to worry about them? This book is a layperson’s guide to understanding chemical risk. The toxicologist Gerald A. LeBlanc offers a nontechnical overview of the key factors in evaluating whether exposure to chemicals in our daily lives could be harmful. He ...
The Essential PROC SQL Handbook for SAS Users
Navigate the world of the powerful SQL procedure with Katherine Prairie's Essential PROC SQL Handbook for SAS Users. Written in an easy-to-use, logical format, this comprehensive reference focuses on the functionality of the procedure, as well as the accomplishment of common tasks using PROC SQL, enabling readers to quickly develop and enhance their SQL skills. Features include more than 300 examples of PROC SQL code, plus queries and diagrams showing how the statements are processed, tips and techniques highlighting "need-to-know" concepts, and an appendix designed specifically for SQL Pass-Through Facility and SAS/ACCESS users. This practical guide is written for SAS users of all levels who want to learn how to integrate the SQL procedure into their Base SAS and/or SAS/ACCESS programs as well as SQL programmers who want to adapt their current skills to SAS. This book is part of the SAS Press program.
Measurements of Grammaticalization
Grammaticalization has often been described as a gradual phenomenon. While many studies have discussed the quantitative aspects of grammaticalization, there has been little to no work that has tried to propose a way of measuring degrees of grammaticalization. This book addresses this gap by proposing a corpus-based approach to the measurement of grammaticalization, using binary logistic regression modelling. Such an approach has theoretical benefits as it can provide empirical evidence for the gradience and gradualness of grammaticalization. It can help substantiate observations that have been done on the basis of case studies so far, such as the hypothesized unidirectionality of grammatical...
Pharmaceutical Statistics Using SAS
Introduces a range of data analysis problems encountered in drug development and illustrates them using case studies from actual pre-clinical experiments and clinical studies. Includes a discussion of methodological issues, practical advice from subject matter experts, and review of relevant regulatory guidelines.
