Statistical Literacy for Clinical Practitioners

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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.

Author(s): William H. Holmes, William C. Rinaman (auth.)
Edition: 1
Publisher: Springer International Publishing
Year: 2014

Language: English
Pages: 485
Tags: Statistics for Life Sciences, Medicine, Health Sciences; Medicine/Public Health, general; Epidemiology

Front Matter....Pages i-xi
Introduction....Pages 1-23
Introduction to SPSS....Pages 25-57
Describing the Distribution of a Categorical Variable....Pages 59-86
Describing the Distribution of a Quantitative Variable....Pages 87-125
Introduction to Statistical Inference....Pages 127-147
Inference for Proportions....Pages 149-177
Relationships in Categorical Data....Pages 179-204
Assessing Screening and Diagnostic Tests....Pages 205-231
Relationships in Quantitative Data....Pages 233-250
Comparing Means of Independent Samples....Pages 251-281
Comparing Means of Related Samples....Pages 283-302
Analysis of Variance with Two Factors....Pages 303-339
Simple Linear Regression....Pages 341-366
Multiple Linear Regression....Pages 367-396
Logistic Regression....Pages 397-422
Survival Analysis....Pages 423-450
Regression Analysis of Count Data....Pages 451-479
Back Matter....Pages 481-485