Biostatistics For Dummies
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Biostatistics For Dummies
Biostatisticans are charged with binding answers to some of the world's most pressing health questions. This guide covers the relevant topics you'd encounter in a biostatistics course, and provides plain-English explanations of important concepts --
Break down biostatistics, make sense of complex concepts, and pass your class.
If you're taking biostatistics, you may need or want a little extra assistance as you make your way through. Biostatistics For Dummies follows a typical biostatistics course at the college level, helping you understand even the most difficult concepts, so you can get the grade you need.
Start at the beginning by learning how to read and understand mathematical equations and conduct clinical research. Then, use your knowledge to analyze and graph your data. This new edition includes more example problems with step-by-step walkthroughs on how to use statistical software to analyse large datasets. Biostatistics For Dummies is your go-to guide for making sense of it all.
- Review basic statistics and decode mathematical equations.
- Learn how to analyze and graph data from clinical research studies.
- Look for relationships with correlation and regression.
- Use software to properly analyse large datasets.
Anyone studying in clinical science, public health, pharmaceutical sciences, chemistry, and epidemiology-related fields will want this book to get through that biostatistics course.
Book Details
INFORMATION
ISBN: 9781394251469
Publisher: John Wiley & Sons Inc
Format: Paperback / softback
Date Published: 11 July 2024
Country: United States
Imprint: For Dummies
Edition: 2nd edition
Audience: General / adult
DIMENSIONS
Spine width: 25.0mm
Width: 188.0mm
Height: 234.0mm
Weight: 522g
Pages: 400
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About the Author
Monika Wahi, MPH, CPH, leads the data science consulting firm DethWench Professional Services (DPS). She is also author of 8 LinkedIn Learning courses. John C. Pezzullo, PhD, held academic positions at Wayne State University and George-town University, including in the department of biomathematics and biostatistics.
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