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Multiple Comparisons And Multiple Tests Using Sas Second Edition Hardcover Edition


Multiple Comparisons And Multiple Tests Using Sas Second Edition Hardcover Edition
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Multiple Comparisons And Multiple Tests Using Sas Second Edition


Multiple Comparisons And Multiple Tests Using Sas Second Edition
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Author : Peter H. Westfall
language : en
Publisher: SAS Institute
Release Date : 2011

Multiple Comparisons And Multiple Tests Using Sas Second Edition written by Peter H. Westfall and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Computers categories.


New and extensively updated for SAS 9 and later, this work provides cutting-edge methods, specialized macros, and proven best bet procedures. The book also discusses the pitfalls and advantages of various methods, thereby helping readers to decide which is the most appropriate for their purposes. 644 pp. Pub. 7/11.



Multiple Comparisons And Multiple Tests Using Sas Second Edition Hardcover Edition


Multiple Comparisons And Multiple Tests Using Sas Second Edition Hardcover Edition
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Author : Ph. D. Peter H. Westfall
language : en
Publisher:
Release Date : 2019-08-28

Multiple Comparisons And Multiple Tests Using Sas Second Edition Hardcover Edition written by Ph. D. Peter H. Westfall and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-28 with Computers categories.


New and extensively updated for SAS 9 and later! Have you ever felt that there was no multiple inference method that fit the particular constraints of your data? Or been overwhelmed by the many choices of procedures? Multiple Comparisons and Multiple Tests Using SAS, Second Edition, written by Peter Westfall, Randall Tobias, and Russell Wolfinger, solves both problems for you by providing cutting-edge methods, specialized macros, and proven "best bet" procedures. The specialized macros and dozens of real-world examples illustrate solutions for a broad variety of problems that call for multiple inferences. The book also discusses the pitfalls and advantages of various methods, thereby helping you decide which is the most appropriate for your purposes. If you are a researcher or scientist in pharmaceuticals, engineering, government, or medicine, you will find many methods applied to real data and examples from your field. The book includes specialized code and explanations throughout. It discusses in detail pairwise comparisons and comparisons with a control. Additional topics include general linear contrasts; multiple comparisons of multivariate means; and multiple inferences with mixed models, discrete data, and survival analysis.



Sas System For Regression


Sas System For Regression
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Author : Rudolf Freund
language : en
Publisher: John Wiley & Sons
Release Date : 2000-12-29

Sas System For Regression written by Rudolf Freund and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-12-29 with Mathematics categories.


SAS® System for Regression Learn to perform a wide variety of regression analyses using SAS® software with this example-driven revised favorite from SAS Publishing. With this Third Edition you will learn the basics of performing regression analyses using a wide variety of models including nonlinear models. Other topics covered include performing linear regression analyses using PROC REG diagnosing and providing remedies for data problems, including outliers and multicollinearity. Examples feature numerous SAS procedures including REG, PLOT, GPLOT, NLIN, RSREG, AUTOREG, PRINCOMP, and others. A helpful discussion of theory is supplied where necessary. Some knowledge of both regression and the SAS System are assumed. New for this edition The Third Edition includes revisions, updated material, and new material. You’ll find new information on using SAS/INSIGHT® software regression with a binary response with emphasis on PROC LOGISTIC nonparametric regression (smoothing) using moving averages and PROC LOESS. Additionally, updated material throughout the book includes high-resolution PROC REG graphics output, using the OUTEST option to produce a data set, and using PROC SCORE to predict another data set.



Sas For Forecasting Time Series


Sas For Forecasting Time Series
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Author : John C. Brocklebank
language : en
Publisher: John Wiley & Sons
Release Date : 2003-07-14

Sas For Forecasting Time Series written by John C. Brocklebank and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-07-14 with Mathematics categories.


Easy-to-read and comprehensive, this book shows how the SAS System performs multivariate time series analysis and features the advanced SAS procedures STATSPACE, ARIMA, and SPECTRA. The interrelationship of SAS/ETS procedures is demonstrated with an accompanying discussion of how the choice of a procedure depends on the data to be analysed and the reults desired. Other topics covered include detecting sinusoidal components in time series models and performing bivariate corr-spectral analysis and comparing the results with the standard transfer function methodology. The authors? unique approach to integrating students in a variety of disciplines and industries. Emphasis is on correct interpretation of output to draw meaningful conclusions. The volume, co-pubished by SAS and JWS, features both theory and practicality, and accompanies a soon-to-be extensive library of SAS hands-on manuals in a multitude of statistical areas. The book can be used with a number of hardware-specific computing machines including CMS, Mac, MVS, Opem VMS Alpha, Opmen VMS VAX, OS/390, OS/2, UNIX, and Windows.



Sas For Linear Models


Sas For Linear Models
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Author : Ramon Littell
language : en
Publisher: John Wiley & Sons
Release Date : 2002-05-24

Sas For Linear Models written by Ramon Littell and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-05-24 with Mathematics categories.


Features and capabilities of the REG, ANOVA, and GLM procedures are included in this introduction to analysing linear models with the SAS System. This guide shows how to apply the appropriate procedure to data analysis problems and understand PROC GLM output. Other helpful guidelines and discussions cover the following significant areas: Multivariate linear models; lack-of-fit analysis; covariance and heterogeneity of slopes; a classification with both crossed and nested effects; and analysis of variance for balanced data. This fourth edition includes updated examples, new software-related features, and new material, including a chapter on generalised linear models. Version 8 of the SAS System was used to run the SAS code examples in the book. * Provides clear explanations of how to use SAS to analyse linear models * Includes numerous SAS outputs * Includes new chapter on generalised linear models * Uses version 8 of the SAS system This book assists data analysts who use SAS/STAT software to analyse data using regression analysis and analysis of variance. It assumes familiarity with basic SAS concepts such as creating SAS data sets with the DATA step and manipulating SAS data sets with the procedures in base SAS software.



Data Preparation For Analytics Using Sas


Data Preparation For Analytics Using Sas
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Author : Gerhard Svolba
language : en
Publisher: SAS Institute
Release Date : 2006-11-01

Data Preparation For Analytics Using Sas written by Gerhard Svolba and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-11-01 with Computers categories.


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.



The Essential Proc Sql Handbook For Sas Users


The Essential Proc Sql Handbook For Sas Users
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Author : Katherine Prairie
language : en
Publisher: SAS Institute
Release Date : 2005-06-21

The Essential Proc Sql Handbook For Sas Users written by Katherine Prairie and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-06-21 with Computers categories.


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.



Pharmaceutical Statistics Using Sas


Pharmaceutical Statistics Using Sas
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Author : Alex Dmitrienko
language : en
Publisher: SAS Institute
Release Date : 2007

Pharmaceutical Statistics Using Sas written by Alex Dmitrienko and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computers categories.


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.



Elementary Statistics Using Sas


Elementary Statistics Using Sas
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Author : Sandra D. Schlotzhauer
language : en
Publisher: SAS Institute
Release Date : 2015-04-17

Elementary Statistics Using Sas written by Sandra D. Schlotzhauer and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-17 with Computers categories.


Bridging the gap between statistics texts and SAS documentation, Elementary Statistics Using SAS is written for those who want to perform analyses to solve problems. The first section of the book explains the basics of SAS data sets and shows how to use SAS for descriptive statistics and graphs. The second section discusses fundamental statistical concepts, including normality and hypothesis testing. The remaining sections of the book show analyses for comparing two groups, comparing multiple groups, fitting regression equations, and exploring contingency tables. For each analysis, author Sandra Schlotzhauer explains assumptions, statistical approach, and SAS methods and syntax, and makes conclusions from the results. Statistical methods covered include two-sample t-tests, paired-difference t-tests, analysis of variance, multiple comparison techniques, regression, regression diagnostics, and chi-square tests. Elementary Statistics Using SAS is a thoroughly revised and updated edition of Ramon Littell and Sandra Schlotzhauer's SAS System for Elementary Statistical Analysis.



Validating Clinical Trial Data Reporting With Sas


Validating Clinical Trial Data Reporting With Sas
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Author : Carol I. Matthews
language : en
Publisher: SAS Institute
Release Date : 2008

Validating Clinical Trial Data Reporting With Sas written by Carol I. Matthews and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computers categories.


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.