You're reading from Biostatistics with Python Apply Python for biostatistics with hands-on biomedical and biotechnology projects

Product type Paperback

Published in Nov 2024

Publisher Packt

ISBN-13 9781837630967

Length 374 pages

Edition 1st Edition

Languages

Python

Tools

NetApp ONTAP

Concepts

Statistics

Author (1):

Darko Medin

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Table of Contents (24) Chapters

Preface

1. Part 1:Introduction to Biostatistics and Getting Started with Python

2. Chapter 1: Introduction to Biostatistics FREE CHAPTER

3. Chapter 2: Getting Started with Python for Biostatistics

4. Chapter 3: Exercise 1 – Cleaning and Describing Data Using Python

5. Chapter 4: Part 1 Exemplar Project – Load, Clean, and Describe Diabetes Data in Python

6. Part 2:Introduction to Python for Biostatistics – Methodology and Examples

7. Chapter 5: Introduction to Python for Biostatistics

8. Chapter 6: Biostatistical Inference Using Hypothesis Tests and Effect Sizes

9. Chapter 7: Predictive Biostatistics Using Python

10. Chapter 8: Part 2 Exercise – T-Test, ANOVA, and Linear and Logistic Regression

11. Chapter 9: Biostatistical Inference and Predictive Analytics Using Cardiovascular Study Data

12. Part 3:Clinical Study Design, Analysis, and Synthesizing Evidence

13. Chapter 10: Clinical Study Design

14. Chapter 11: Survival Analysis in Biomedical Research

15. Chapter 12: Meta-Analysis – Synthesizing Evidence from Multiple Studies

16. Chapter 13: Survival Predictive Analysis and Meta-Analysis Practice

17. Chapter 14: Part 3 Exemplar Project – Meta-Analysis of Survival Data in Clinical Research

18. Part 4:Biological and Statistical Variables and Frameworks, and a Final Practical Project from the Field of Biology

19. Chapter 15: Understanding Biological Variables

20. Chapter 16: Data Analysis Frameworks and Performance for Life Sciences Research

21. Chapter 17: Part 4 Exercise – Performing Statistics for Biology Studies in Python

22. Index

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