2005 Fall STA 102-001
Bulletin Course Description Reading and interpretation of statistical analyses from life science and 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 survival analysis. Emphasizes role of biostatistics, drug treating, and clinical trials in modern society.Instructor: Stangl
(Instructor named in bulletin description above may not be current. For current instructor, see listing below.)
Title INTRO BIOSTATISTICS Department STA Course Number 2005 Fall 102 Section Number 001 Primary Instructor Stangl,Dalene K Prerequisites Prerequisites: Statistical Science 10, Statistical Science 19, or placement test into Statistical Science 102, or have declared a major by March 29, 2
Prerequisites
Knowledge of high school algebra, including square roots.
Synopsis of course content
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 for medical problems, inference and hypothesis testing for RCT's, decision analysis and decision trees, and
basic survival analysis. Emphasizes role of biostatistics, drug testing, and clinical trials in modern society.
Additional Information
This course is suitable for students in the biological or medical sciences. It is similar in content to Statistics 101. In Stat 102, the examples are focused on biology and medicine, whereas in Stat 101 the examples are more widespread.
