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An Introduction to Statistical Computing with SAS (First Edition)

2019-08-05
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Release : 2019-08-05
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Kind : eBook
Book Rating : 485/5 ( reviews)

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Book Synopsis An Introduction to Statistical Computing with SAS (First Edition) by : Brianna Magnusson

Download or read book An Introduction to Statistical Computing with SAS (First Edition) written by Brianna Magnusson. This book was released on 2019-08-05. Available in PDF, EPUB and Kindle. Book excerpt: SAS Data Management for Public Health: An Introduction equips readers with the tools and knowledge they need to prepare public health data in SAS Data Management software for use in analysis. Highly accessible in nature, the book is specifically designed to help students who are new to SAS learn and master the system. The book is organized into 20 lessons. The opening lessons introduce SAS and provide tips and best practices for exploring data. Students are introduced to PROC MEANS, FREQ, UNIVARIATE, and PROC SGPLOT. They learn how to import data; merge, concatenate, and manage variables; perform data cleanup; and recode categorical and continuous variables. Specific lessons address comments, labels, and titles, formatting variables, conditional recoding, DO groups, arrays for recoding, and categorical data analysis. Closing lessons introduce stratified and subpopulation analysis, as well as logistic regression. The book includes an appendix to help students navigate and use SAS Studio. SAS Data Management for Public Health is an ideal resource for standalone courses in which SAS is taught or to complement any biostatistics or epidemiology course where students need to use SAS to analyze their data.

OpenIntro Statistics

2015-07-02
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Release : 2015-07-02
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Kind : eBook
Book Rating : 046/5 ( reviews)

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Book Synopsis OpenIntro Statistics by : David Diez

Download or read book OpenIntro Statistics written by David Diez. This book was released on 2015-07-02. Available in PDF, EPUB and Kindle. Book excerpt: The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. We feature real data whenever possible, and files for the entire textbook are freely available at openintro.org. Visit our website, openintro.org. We provide free videos, statistical software labs, lecture slides, course management tools, and many other helpful resources.

SAS for Data Analysis

2008-12-10 Mathematics
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Release : 2008-12-10
Genre : Mathematics
Kind : eBook
Book Rating : 72X/5 ( reviews)

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Book Synopsis SAS for Data Analysis by : Mervyn G. Marasinghe

Download or read book SAS for Data Analysis written by Mervyn G. Marasinghe. This book was released on 2008-12-10. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended for use as the textbook in a second course in applied statistics that covers topics in multiple regression and analysis of variance at an intermediate level. Generally, students enrolled in such courses are p- marily graduate majors or advanced undergraduate students from a variety of disciplines. These students typically have taken an introductory-level s- tistical methods course that requires the use a software system such as SAS for performing statistical analysis. Thus students are expected to have an - derstanding of basic concepts of statistical inference such as estimation and hypothesis testing. Understandably, adequate time is not available in a ?rst course in stat- tical methods to cover the use of a software system adequately in the amount of time available for instruction. The aim of this book is to teach how to use the SAS system for data analysis. The SAS language is introduced at a level of sophistication not found in most introductory SAS books. Important features such as SAS data step programming, pointers, and line-hold spe- ?ers are described in detail. The powerful graphics support available in SAS is emphasized throughout, and many worked SAS program examples contain graphic components.

SAS and R

2009-07-21 Mathematics
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Release : 2009-07-21
Genre : Mathematics
Kind : eBook
Book Rating : 592/5 ( reviews)

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Book Synopsis SAS and R by : Ken Kleinman

Download or read book SAS and R written by Ken Kleinman. This book was released on 2009-07-21. Available in PDF, EPUB and Kindle. Book excerpt: An All-in-One Resource for Using SAS and R to Carry out Common TasksProvides a path between languages that is easier than reading complete documentationSAS and R: Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in both SAS and R, without having to navigate through the extensive, id

Handbook of SAS® DATA Step Programming

2013-04-10 Mathematics
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Release : 2013-04-10
Genre : Mathematics
Kind : eBook
Book Rating : 387/5 ( reviews)

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Book Synopsis Handbook of SAS® DATA Step Programming by : Arthur Li

Download or read book Handbook of SAS® DATA Step Programming written by Arthur Li. This book was released on 2013-04-10. Available in PDF, EPUB and Kindle. Book excerpt: To write an accomplished program in the DATA step of SAS®, programmers must understand programming logic and know how to implement and even create their own programming algorithm. Handbook of SAS® DATA Step Programming shows readers how best to manage and manipulate data by using the DATA step. The book helps novices avoid common mistakes resulting from a lack of understanding fundamental and unique SAS programming concepts. It explains that learning syntax does not solve all problems; rather, a thorough comprehension of SAS processing is needed for successful programming. The author also guides readers through a programming task. In most of the examples, the author first presents strategies and steps for solving the problem, then offers a solution, and finally gives a more detailed explanation of the solution. Understanding the DATA steps, particularly the program data vector (PDV), is critical to proper data manipulation and management in SAS. This book helps SAS programmers thoroughly grasp the concept of DATA step processing and write accurate programs in the DATA step. Numerous supporting materials, including data sets and programs used in the text, are available on the book’s CRC Press web page.

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