Main description:

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.

Contents:

Descriptive Statistics. Introduction to SAS. Probability. Diagnostics. Discrete Probability Distributions. Continuous Probability Distributions. Probability Distributions. Estimation. One Sample Hypothesis Testing. Two Sample Hypothesis Sample. Nonparametric Statistics. One Sample and Two Sample Hypothesis Testing, Sample Size, and Nonparametric Methods. Categorical Data Sets. ANOVA. Correlation. Linear Regression. Logistic Regression. Survival Analysis. Data Analysis.