ABSTRACT

Biostatistics for Clinical and Public Health Research provides a concise overview of statistical analysis methods. Use of SAS and Stata statistical software is illustrated in full, including how to interpret results.

Focusing on statistical models without all the theory, the book is complete with exercises, case studies, take-away points, and data sets. Readers will be able to maximize their statistical abilities in hypothesis testing, data interpretation, and application while also learning when and how to consult a biostatistician.

This book will be an invaluable tool for students and clinical and public health practitioners.

chapter 1|22 pages

Descriptive statistics

chapter |28 pages

Lab A: Introduction to SAS®

chapter |21 pages

Lab A: Introduction to Stata®

chapter 2|16 pages

Probability

chapter 3|18 pages

Diagnostic testing/screening

chapter 4|18 pages

Discrete probability distributions

chapter 5|16 pages

Continuous probability distributions

chapter |3 pages

Lab B: Probability distributions

chapter 6|30 pages

Estimation

chapter 7|40 pages

One-sample hypothesis testing

chapter 8|34 pages

Two-Sample Hypothesis Testing

chapter 9|26 pages

Nonparametric hypothesis testing

chapter 10|52 pages

Hypothesis testing with categorical data

chapter 11|30 pages

Analysis of variance (ANOVA)

chapter 12|30 pages

Correlation

chapter 13|40 pages

Linear regression

chapter 14|28 pages

Logistic regression

chapter 15|20 pages

Survival analysis

chapter |9 pages

Lab E: Data analysis project