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Medicine > Medicine (General)
Think Like a Biostatistics Analyst: A Step-by-Step Study Guide
Hernandez, Mike
ISBN 13: 
9780128031278
ISBN 10: 
0128031271
Category: 
Medicine (General)
Edition: 
1
Publisher: 
Elsevier
Publication Date: 
01/2025
Format: 
Paperback
Status: 
Not Yet Published
Imprint: 
Academic Press
Audience: 
Professional and scholarly
Pages: 
220
Weight: 
2
Retail Price: 
89.95 (Tentative Price May Change)
Quantity On Hand: 
0
Quantity On Order: 
0
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Synopsis:

Think Like a Biostatistics Analyst: A Step-by-Step Study Guide provides a glimpse into the life of a statistical analyst, which is informative for individuals thinking of statistics as a career choice. The book explores strategies to make learning more effective, enhance workflow, and more efficiently and effectively maximize learning, which translates into better quality of assignments, reports, or presentations.

The book begins by describing how an analyst thinks about projects, which parallels how readers should approach doing homework assignments, presentations, and studying for exams. Introduces how to create an analysis structure, problem identification, the necessity of good data management, and the effective summarization of data that provides them with a better conceptualization of a daily routine of a biostatistician.



  • Offers a step-by-step approach to solving problems using both formulae and the statistical software Stata that can be easily aligned with the content presented in Biostatistics: A Guide to Design, Analysis, and Discovery, Second Edition
  • Provides a statistical analyst’s approach to problem solving
  • Enriches the usability of the existing companion website of the book Biostatistics: A Guide to Design, Analysis, and Discovery, Second Edition, making the acquisition of data less of a task for students and allowing them to focus more attention on building their statistical software skills
  • Introduces how to create an analysis structure, problem identification, the necessity of good data management, and the effective summarization of data that provides them with a better conceptualization of a daily routine of a biostatistician

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