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Principles and Practice of Biostatistics

  • 1st Edition - April 28, 2017
  • Latest edition
  • Authors: B Antonisamy, Prasanna S. Premkumar, Solomon Christopher
  • Language: English

Principles and Practice of Biostatistics emphasizes the basic aspects of biostatistics most often used in the teaching and research areas of medical, nursing and allied health sc… Read more

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Description

Principles and Practice of Biostatistics emphasizes the basic aspects of biostatistics most often used in the teaching and research areas of medical, nursing and allied health sciences.

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.

    Readership

    Postgraduate Courses (Medical, Dental, Nursing, Physiotherapy, Pharmacy and other Paramedical Courses), DNB Courses (Medical), PG Diploma (Medical), Super Specialty courses (Medical)

    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

    Product details

    • Edition: 1
    • Latest edition
    • Published: April 28, 2017
    • Language: English