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Analyzing Health Data in R for SAS Users (Hardcover) Loot Price: R2,829
Discovery Miles 28 290
Analyzing Health Data in R for SAS Users (Hardcover): Peter Seebach, Monika Maya Wahi

Analyzing Health Data in R for SAS Users (Hardcover)

Peter Seebach, Monika Maya Wahi

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Loot Price R2,829 Discovery Miles 28 290 | Repayment Terms: R265 pm x 12*

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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 is targeted to public health students and professionals who have a background in biostatistics and SAS software, but are new to R. For professors, it is useful as a textbook for a descriptive or regression modeling class, as it uses a publicly-available dataset for examples, and provides exercises at the end of each chapter. For students and public health professionals, not only is it a gentle introduction to R, but it can serve as a guide to developing the results for a research report using R software. Features: Gives examples in both SAS and R Demonstrates descriptive statistics as well as linear and logistic regression Provides exercise questions and answers at the end of each chapter Uses examples from the publicly available dataset, Behavioral Risk Factor Surveillance System (BRFSS) 2014 data Guides the reader on producing a health analysis that could be published as a research report Gives an example of hypothesis-driven data analysis Provides examples of plots with a color insert

General

Imprint: Productivity Press
Country of origin: United States
Release date: November 2017
First published: 2018
Authors: Peter Seebach • Monika Maya Wahi
Dimensions: 234 x 156 x 25mm (L x W x T)
Format: Hardcover
Pages: 318
ISBN-13: 978-1-4987-9588-3
Categories: Books > Health, Home & Family > General
Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics
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LSN: 1-4987-9588-9
Barcode: 9781498795883

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