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Adaptive Tests of Significance Using Permutations of Residuals with R and SAS

Permutations of Residuals with R and SAS illustrates the power of adaptive tests and showcases their ability to adjust the testing method to suit a;

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Adaptive Design Theory and Implementation Using SAS and R

on sequential parallel designs with rerandomization and the skeleton approach in adaptive dose-escalation trials Twenty new SAS macros and R;

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Adaptive Design Theory and Implementation Using SAS and R

on sequential parallel designs with rerandomization and the skeleton approach in adaptive dose-escalation trials Twenty new SAS macros and R;

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Applied Econometrics Using the SAS System

models. Subsequent chapters balance essential concepts with SAS(R) tools and cover key topics such as: Regression analysis using Proc IML and;

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Discovering Statistics Using SAS

students using SAS (R). Andy has teamed up with a co-author, Jeremy Miles, to adapt the book with all the most up-to-date commands and programming;

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Discovering Statistics Using SAS

students using SAS (R). Andy has teamed up with a co-author, Jeremy Miles, to adapt the book with all the most up-to-date commands and programming;

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Statistical Hypothesis Testing with SAS and R

A comprehensive guide to statistical hypothesis testing with examples in SAS and R When analyzing datasets the following questions often;

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Biostatistics by Example Using SAS Studio

Learn how to solve basic statistical problems with Ron Cody's easy-to-follow style using the point-and-click SAS Studio tasks.

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Clinical Trial Data Analysis Using R and SAS

of biostatistical analyses of clinical trial data with step-by-step implementations using R and SAS. The book's practical, detailed approach draws on the;

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Clinical Trial Data Analysis Using R and SAS

analyses of clinical trial data with step-by-step implementations using R and SAS. The book's practical, detailed approach draws on the authors' 30;

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R for SAS and SPSS Users

using SAS and SPSS terms with which you are already familiar. It demonstrates which of the add-on packages are most like SAS and SPSS and;

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R for SAS and SPSS Users

using SAS and SPSS terms with which you are already familiar. It demonstrates which of the add-on packages are most like SAS and SPSS and;

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Supervised Machine Learning

interoperability with R libraries to accomplish variety of statistical and machine-learning tasks Computer programs in R and SAS that create AI framework;

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Supervised Machine Learning

interoperability with R libraries to accomplish variety of statistical and machine-learning tasks Computer programs in R and SAS that create AI framework;

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SAS for R Users

with knowledge of both R and SAS are of far greater value to employers, particularly in corporate settings. Using a clear, step-by-step;

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SAS and R

An Up-to-Date, All-in-One Resource for Using SAS and R to Perform Frequent TasksThe first edition of this popular guide provided a path;

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Modern Approaches to Clinical Trials Using SAS

Get the tools you need to use SAS® in clinical trial design! Unique and multifaceted, Modern Approaches to Clinical Trials Using SAS;

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Modern Approaches to Clinical Trials Using SAS

Get the tools you need to use SAS in clinical trial design! Unique and multifaceted, Modern Approaches to Clinical Trials Using SAS;

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Step-by-Step Basic Statistics Using SAS

statistical analyses that are commonly used in the social and behavioral sciences. With SAS, you can focus more on conceptual issues in statistical;

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Producing High-Quality Figures Using SAS/Graph(r) and Ods Graphics Procedures

Create Top-Quality Figures Using SAS Producing High-Quality Figures Using SAS/GRAPH (R) and ODS Graphics Procedures gives statisticians and;

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Equivalence and Noninferiority Tests for Quality, Manufacturing and Test Engineers

statistical software and do not require complicated programming. The book also includes computer code and screen shots for SAS, R, and JMP;

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Equivalence and Noninferiority Tests for Quality, Manufacturing and Test Engineers

statistical software and do not require complicated programming. The book also includes computer code and screen shots for SAS, R, and JMP;

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An Introduction to SAS University Edition

Get up and running with the SAS University Edition using Ron Codys easy-to-follow, step-by-step guide. Aimed at beginners who have;

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SAS(R) SQL Procedure User's Guide, Version 8

examples show you how to enhance performance using PROC SQL with database management systems (DBMSs), the macro facility, SAS Component Language;

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SAS Essentials

A step-by-step introduction to using SAS (R) statistical software as a foundational approach to data analysis and interpretation;

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Rank and Pseudo-Rank Procedures for Independent Observations in Factorial Designs: Using R and SAS

-based inference methodology and numerous illustrations with real data examples, as well as the necessary RSAS code to run the statistical;

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Statistical Programming in SAS

In Statistical Programming in SAS, author A. John Bailer integrates SAS tools with interesting statistical applications and uses SAS 9.2 as;

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