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Statistical Literacy for Clinical Practitioners

  • William H. Holmes
  • William C. Rinaman

Table of contents

  1. Front Matter
    Pages i-xi
  2. William H. Holmes, William C. Rinaman
    Pages 1-23
  3. William H. Holmes, William C. Rinaman
    Pages 25-57
  4. William H. Holmes, William C. Rinaman
    Pages 59-86
  5. William H. Holmes, William C. Rinaman
    Pages 87-125
  6. William H. Holmes, William C. Rinaman
    Pages 127-147
  7. William H. Holmes, William C. Rinaman
    Pages 149-177
  8. William H. Holmes, William C. Rinaman
    Pages 179-204
  9. William H. Holmes, William C. Rinaman
    Pages 205-231
  10. William H. Holmes, William C. Rinaman
    Pages 233-250
  11. William H. Holmes, William C. Rinaman
    Pages 251-281
  12. William H. Holmes, William C. Rinaman
    Pages 283-302
  13. William H. Holmes, William C. Rinaman
    Pages 303-339
  14. William H. Holmes, William C. Rinaman
    Pages 341-366
  15. William H. Holmes, William C. Rinaman
    Pages 367-396
  16. William H. Holmes, William C. Rinaman
    Pages 397-422
  17. William H. Holmes, William C. Rinaman
    Pages 423-450
  18. William H. Holmes, William C. Rinaman
    Pages 451-479
  19. Back Matter
    Pages 481-485

About this book

Introduction

This textbook on statistics is written for students in medicine, epidemiology, and public health. It builds on the important role evidence-based medicine now plays in the clinical practice of physicians, physician assistants and allied health practitioners. By bringing research design and statistics to the fore, this book can integrate these skills into the curricula of professional programs. Students, particularly practitioners-in-training, will learn statistical skills that are required of today’s clinicians. Practice problems at the end of each chapter and downloadable data sets provided by the authors ensure readers get practical experience that they can then apply to their own work. 

Topics covered include:  

Functions of Statistics in Clinical Research

Common Study Designs

Describing Distributions of Categorical and Quantitative Variables

Confidence Intervals and Hypothesis Testing

Documenting Relationships in Categorical and Quantitative Data<

Assessing Screening and Diagnostic Tests

Comparing Means of Independent and Related Samples

Linear Regression

Binary Logistic Regression

Survival Analysis

Regression Analysis of Count Data

Keywords

SPSS biostatistics for medicine case-control study evidence-based medicine medical statistics meta-analysis physicians & health practitioners randomized clinical trials

Authors and affiliations

  • William H. Holmes
    • 1
  • William C. Rinaman
    • 2
  1. 1.Le Moyne CollegeSyracuseUSA
  2. 2.PinehurstUSA

Bibliographic information