A Biostatistics Toolbox for Data Analysis

AUTHOR: Steve Selvin, University of California, Berkeley



This sophisticated package of statistical methods is for advanced master's (MPH) and PhD students in public health and epidemiology who are involved in the analysis of data. It makes the link from statistical theory to data analysis, focusing on the methods and data types most common in public health and related fields. Like most toolboxes, the statistical tools in this book are organized into sections with similar objectives. Unlike most toolboxes, however, these tools are accompanied by complete instructions, explanations, detailed examples, and advice on relevant issues and potential pitfalls - conveying skills, intuition, and experience. The only prerequisite is a first-year statistics course and familiarity with a computing package such as R, Stata, SPSS, or SAS. Though the book is not tied to a particular computing language, its figures and analyses were all created using R.

• Statistical tools are complemented by complete instructions, explanations, detailed examples, and advice on relevant issues and potential pitfalls
• Students only require familiarity with a computing package such as R, Stata, SPSS, or SAS, as well as a first-year statistics course
• Online resources include relevant R code, data sets, and links to public data sets