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Clinical Trial Data Analysis Using R and SAS

updated R packages. Includes correlated data analysis with multivariate analysis of variance. Applies R and SAS;

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Clinical Trial Data Analysis Using R and SAS

packages. Includes correlated data analysis with multivariate analysis of variance. Applies R and SAS to clinical trial data from;

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Analysis of Correlated Data with SAS and R

Analysis of Correlated Data with SAS and R: 4th edition presents an applied treatment of recently developed statistical models and methods;

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Analysis of Correlated Data with SAS and R

Analysis of Correlated Data with SAS and R: 4th edition presents an applied treatment of recently developed statistical models and methods;

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Modeling Binary Correlated Responses using SAS, SPSS and R

. The inclusion of code for R, SAS, and SPSS allows for easy implementation by readers. For readers interested in learning more about the;

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Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates

covariates that change over time. The included data are analyzed with the use of both R and SAS, and the data and computing programs are provided to;

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Generalized Linear and Nonlinear Models for Correlated Data

analysis of correlated response data using SAS, with special emphasis on applications that require the use of generalized linear models or;

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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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Generalized Linear and Nonlinear Models for Correlated Data

analysis of correlated response data using SAS, with special emphasis on applications that require the use of generalized linear models or;

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Handbook for Applied Modeling

their own data analysis needs. Data, R, and SAS scripts can be found online at http://www.spesi.org.;

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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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SAS for R Users

statisticians and data miners who develop statistical software and analyze data. SAS (Statistical Analysis System) is the leading corporate software;

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Big Data Analytics with SAS

analysis with SAS Who This Book Is For SAS professionals and data analysts who wish to perform analytics on Big Data using SAS to gain;

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Simulating Data with SAS

Data simulation is a fundamental technique in statistical programming and research. Rick Wicklin's Simulating Data with SAS brings together;

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SAS and R

between SAS and R using an easy-to-understand, dictionary-like approach. Retaining the same accessible format, SAS and R: Data Management;

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Analyzing Health Data in R for SAS Users

Analyzing Health Data in R for SAS Users is aimed at helping health data analysts who use SAS accomplish some of the same tasks in R. It;

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Applied Plant Science Experimental Design and Statistical Analysis Using Sas(r) Ondemand for Academics

and data analysis protocols - Is presented as a how-to guide with many examples - Includes freely downloadable data sets - Examines key topics;

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Applied Plant Science Experimental Design and Statistical Analysis Using SAS (R) OnDemand for Academics

and data analysis protocols - Is presented as a how-to guide with many examples - Includes freely downloadable data sets - Examines key topics;

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Sharpening Your SAS Skills

and data related problems Reinforce your SAS knowledge with more than 150 technically challenging questions Ideal for intermediate to;

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Complex Survey Data Analysis with SAS

Complex Survey Data Analysis with SAS (R) is an invaluable resource for applied researchers analyzing data generated from a sample design;

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Complex Survey Data Analysis with SAS

Complex Survey Data Analysis with SAS (R) is an invaluable resource for applied researchers analyzing data generated from a sample design;

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Handbook for Applied Modeling

Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing non-Gaussian and correlated data;

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SAS for Linear Models

software to analyse data using regression analysis and analysis of variance. It assumes familiarity with basic SAS concepts such as creating SAS;

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Statistical Data Mining Using SAS Applications

of user-friendly data mining SAS tools. Integrating the statistical and graphical analysis tools available in SAS systems, the book provides;

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R for SAS and SPSS Users

R is a powerful and free software system for data analysis and graphics, with over 5,000 add-on packages available. This book introduces R;

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R for SAS and SPSS Users

R is a powerful and free software system for data analysis and graphics, with over 5,000 add-on packages available. This book introduces R;

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Applied Multivariate Statistics with SAS Software

Real-world problems and data sets are the backbone of this groundbreaking book. Applied Multivariate Statistics with SASA (R) Software;

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