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Biostatistics For Dummies Paperback – 16 Aug 2013

by sanapalas
1,267.00 INR

Product Description From the Back Cover Learn to: Understand key statistical concepts as they relate to biological sciences Interpret biological and statistical data in any setting Score your highest in your biostatistics course Baffled by biostatistics? Biostatisticians are charged with finding answers to some of the world′s most pressing health questions: How safe or effective are drugs hitting the market today? What causes autism? What are the risk factors for cardiovascular disease? Covering the most relevant topics you′ll encounter in a biostatistics course Biostatistics For Dummies gives you plain–English explanations of important concepts and plenty of examples. Back to the basics get up to speed on math and statistics concepts find advice on selecting statistical software and get an overview of clinical research The deal with data find out how to collect data properly summarize it concisely display it in tables and graphs and describe its qualities Size it up grasp the most common statistical techniques for comparing groups: t tests ANOVAs chi–square tests and Fisher Exact tests Let′s regress learn how to test for and quantify the relationship between two or more variables from a simple straight–line regression to multiple logistic nonlinear and other kinds of regression Survive and thrive see how to calculate survival curves test for a difference in survival between two or more groups of subjects and apply the methods of regression analysis to survival data Open the book and find: Basic math and statistical formulas concepts and techniques you need to know The big picture of clinical research How to summarize and graph data The scoop on accuracy precision standard errors and confidence intervals Ways to compare groups Common distribution functions Simple rules for sample–size calculations About the Author John C. Pezzullo PhD has held faculty appointments in the departments of biomathematics and biostatistics pharmacology nursing and internal medicine at Georgetown University. He is semi–retired and continues to teach biostatistics and clinical trial design online to Georgetown University students.

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