Key Features               

• Written in a simple tone and chapters are organized in logical order to ease the process of understanding.

• Covers topics such as basic biostatistics, epidemiology & clinical trials, research methods & data management, and the most commonly used regression methods.
• Stresses on the importance and appropriateness of statistical methods, their assumptions, validity and interpretation in the context of clinical data.
• Each chapter is organized into Learning Objectives, Introduction of various statistical methods illustrated with Worked Examples and graphical methods as appropriate, ending with summarized Key Points.
• Review Questions, Exercises and Multiple Choice Questions enable the reader a quick grasp of and greater insight into the methods presented in the text.

Table of Contents

     1. Role of Biostatistics in Health Sciences

2. Summarizing and Presentation of Data

3. Probability

4. Probability Distributions

5. Sampling Methods

6. Statistical Inference I – Estimation

7. Statistical Inference II – Testing of Hypotheses

8. Analysis of Variance and Multiple Comparisons

9. Hypothesis Testing – Categorical Data

10. Nonparametric Methods

11. Correlation and Regression

12. Epidemiological Study Designs and Analysis

13. Clinical Trials

14. Diagnostic Tests

15. Introduction to Survival Analysis

16. Clinical Measurements

17. Demographical Methods and Vital Statistics

18. Applied Regression Analysis and Multivariable Methods

19. Research Methods

20. Sample Size

21. Meta-Analysis in Systematic Reviews

Appendix A: Statistical Tables

Appendix B: Answers to Multiple Choice Questions

Appendix C: Bibliography