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SAS for Epidemiologists

2012-10-25 Mathematics
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Release : 2012-10-25
Genre : Mathematics
Kind : eBook
Book Rating : 549/5 ( reviews)

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Book Synopsis SAS for Epidemiologists by : Charles DiMaggio

Download or read book SAS for Epidemiologists written by Charles DiMaggio. This book was released on 2012-10-25. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive text covers the use of SAS for epidemiology and public health research. Developed with students in mind and from their feedback, the text addresses this material in a straightforward manner with a multitude of examples. It is directly applicable to students and researchers in the fields of public health, biostatistics and epidemiology. Through a “hands on” approach to the use of SAS for a broad number of epidemiologic analyses, readers learn techniques for data entry and cleaning, categorical analysis, ANOVA, and linear regression and much more. Exercises utilizing real-world data sets are featured throughout the book. SAS screen shots demonstrate the steps for successful programming. SAS (Statistical Analysis System) is an integrated system of software products provided by the SAS institute, which is headquartered in California. It provides programmers and statisticians the ability to engage in many sophisticated statistical analyses and data retrieval and mining exercises. SAS is widely used in the fields of epidemiology and public health research, predominately due to its ability to reliably analyze very large administrative data sets, as well as more commonly encountered clinical trial and observational research data.

SAS for Epidemiologists

2012-10-25 Mathematics
Download SAS for Epidemiologists PDF Online Free

Author :
Release : 2012-10-25
Genre : Mathematics
Kind : eBook
Book Rating : 530/5 ( reviews)

GET EBOOK


Book Synopsis SAS for Epidemiologists by : Charles DiMaggio

Download or read book SAS for Epidemiologists written by Charles DiMaggio. This book was released on 2012-10-25. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive text covers the use of SAS for epidemiology and public health research. Developed with students in mind and from their feedback, the text addresses this material in a straightforward manner with a multitude of examples. It is directly applicable to students and researchers in the fields of public health, biostatistics and epidemiology. Through a “hands on” approach to the use of SAS for a broad number of epidemiologic analyses, readers learn techniques for data entry and cleaning, categorical analysis, ANOVA, and linear regression and much more. Exercises utilizing real-world data sets are featured throughout the book. SAS screen shots demonstrate the steps for successful programming. SAS (Statistical Analysis System) is an integrated system of software products provided by the SAS institute, which is headquartered in California. It provides programmers and statisticians the ability to engage in many sophisticated statistical analyses and data retrieval and mining exercises. SAS is widely used in the fields of epidemiology and public health research, predominately due to its ability to reliably analyze very large administrative data sets, as well as more commonly encountered clinical trial and observational research data.

An Introduction to Statistical Computing with SAS (First Edition)

2018-12-31
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Release : 2018-12-31
Genre :
Kind : eBook
Book Rating : 478/5 ( 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 2018-12-31. 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. Brianna Magnusson holds a Ph.D. in epidemiology and a M.P.H. from Virginia Commonwealth University. She is an associate professor in the Department of Public Health at Brigham Young University. Dr. Magnusson's research focuses on sexual and reproductive health with emphasis on factors influencing sexual decision-making. Caroline Stampfel holds an M.P.H. with a concentration in environmental epidemiology from the Yale School of Public Health. She serves as the director of programs for the Association of Maternal & Child Health Programs and leads a team of maternal and child health experts using data-driven, innovative approaches to improve the health and well-being of women, children, youth, families, and communities.

Introduction to SAS

2007
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Author :
Release : 2007
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Introduction to SAS by :

Download or read book Introduction to SAS written by . This book was released on 2007. Available in PDF, EPUB and Kindle. Book excerpt:

Real World Health Care Data Analysis

2020-01-15 Computers
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Release : 2020-01-15
Genre : Computers
Kind : eBook
Book Rating : 00X/5 ( reviews)

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Book Synopsis Real World Health Care Data Analysis by : Douglas Faries

Download or read book Real World Health Care Data Analysis written by Douglas Faries. This book was released on 2020-01-15. Available in PDF, EPUB and Kindle. Book excerpt: Discover best practices for real world data research with SAS code and examples Real world health care data is common and growing in use with sources such as observational studies, patient registries, electronic medical record databases, insurance healthcare claims databases, as well as data from pragmatic trials. This data serves as the basis for the growing use of real world evidence in medical decision-making. However, the data itself is not evidence. Analytical methods must be used to turn real world data into valid and meaningful evidence. Real World Health Care Data Analysis: Causal Methods and Implementation Using SAS brings together best practices for causal comparative effectiveness analyses based on real world data in a single location and provides SAS code and examples to make the analyses relatively easy and efficient. The book focuses on analytic methods adjusted for time-independent confounding, which are useful when comparing the effect of different potential interventions on some outcome of interest when there is no randomization. These methods include: propensity score matching, stratification methods, weighting methods, regression methods, and approaches that combine and average across these methods methods for comparing two interventions as well as comparisons between three or more interventions algorithms for personalized medicine sensitivity analyses for unmeasured confounding

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