## Course: Methods in Biostatistics I

# Readings

## Textbooks, Papers, and Articles

Rice, John A. *Mathematical Statistics and Data Analysis*.
2nd edition, 1995.

This is the first text in a generation to re-examine the purpose of the mathematical statistics course. The book's approach interweaves traditional topics with data analysis and reflects the use of the computer with close ties to the practice of statistics. The author stresses analysis of data, examines real problems with real data, and motivates the theory. The book's descriptive statistics, graphical displays, and realistic applications stand in strong contrast to traditional texts which are set in abstract settings.

Rosner, Bernard. *Fundamentals of Biostatistics*. 6th edition, 2006.

Bernard Rosner's FUNDAMENTALS OF BIOSTATISTICS is a practical introduction to the methods, techniques, and computation of statistics with human subjects. It prepares students for their future courses and careers by introducing the statistical methods most often used in medical literature. Rosner minimizes the amount of mathematical formulation (algebra-based) while still giving complete explanations of all the important concepts. As in previous editions, a major strength of this book is that every new concept is developed systematically through completely worked out examples from current medical research problems.

Venables, WN; Ripley, BD. *Modern Applied Statistics with S*. 4th edition, 2002.

This book is a guide to using S-PLUS to perform statistical analyses and provides both an introduction to the use of S-PLUS and a course in modern statistical methods. S-PLUS is available for both Windows and UNIX workstations, and both versions are covered in depth. The aim of the book is to show how to use S-PLUS as a powerful and graphical data analysis system. Readers are assumed to have a basic grounding in statistics, nd so the book in intended for would-be users of S-PLUS and both students and researchers using statistics. Throughout, the emphasis is on presenting practical problems and full analyses of real data sets.

McDavid, James C. *Program Evaluation and Performance Measurement: An Introduction to Practice. *Thousand Oaks, CA: SAGE Publications, 2005.

Marshall, Elliot. *Flawed Statistics in Murder Trial May Cost Expert His Medical License. *Science 2005;309:543.

Wainer, Howard. *How to Display Data Badly* The American Statistician 1984;38:137-147.
(JSTOR access required)