STA102 Fall, 2005

STATISTICS 102: Fall 2005
Introduction to Biostatistics
Lecture: M,W 1:15 136 Social Sciences
Lab: T 10:30, 11:50 in 01 Old Chemistry

Instructor: Dalene Stangl	Office: 212 Old Chem
Office Hours: TBA (212 Old Chemistry)
For emergencies you may send email or phone.
Email:dalene@stat.duke.edu		Phone:684-4263

Statistics 101 is designed to provide a student with the understanding of basic principles used to assess quantitative arguments in research in the social and behavioral sciences and public policy.Reading and interpretation of statistical analyses from life science and medical literature. Conceptual bases for using data and understanding uncertainty when making treatment decisions about patients. Includes extensive reading and class discussion of articles from the medical literature. Topics include: basic concepts and tools of probability and conditional probability, independence, two-by-two tables, Simpson's paradox, medical diagnosis, ROC curves, study designs from medical problems, inference and hypothesis testing from RCT's, decision analysis and decision trees, and basic survival analysis. Emphasizes role of biostatistics, drug treating, and clinical trials in modern society.

The course will cover the following topics:

Descriptive statistics for discrete and continuous variables
Contingency Tables, Correlation, ANOVA, Regression, Survival Analysis
Laws of Probability
Point and Interval Estimation
Maximum Likelihood
Tests of Significance
Classical and Bayesian Inference

"It is remarkable that a science which began with consideration of games of chance should have become the most important object of human knowledge."

Pierre Simon Laplace

"It is remarkable that a science which began with consideration of games of chance should have become the most important object of human knowledge." Pierre Simon Laplace

"It is remarkable that a science which began with consideration of games of chance should have become the most important object of human knowledge."

Pierre Simon Laplace