New York: Springer, 2014. - 485 p.
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.
Introduction to SPSS.
Describing the Distribution of a Categorical Variable.
Describing the Distribution of a Quantitative Variable.
Introduction to Statistical Inference.
Inference for Proportions.
Relationships in Categorical Data.
Assessing Screening and Diagnostic Tests.
Relationships in Quantitative Data.
Comparing Means of Independent Samples.
Comparing Means of Related Samples.
Analysis of Variance with Two Factors.
Simple Linear Regression.
Multiple Linear Regression.
Logistic Regression.
Survival Analysis.
Regression Analysis of Count Data.