An introduction to data management for research projects in the biomedical sciences using microcomputers. Topics include design of data collection forms, data entry, computer managed documentation and statistical computing using SAS.
Principles of statistics applied to analysis of biological and health data, evaluation of public health and clinical programs. Gen Ed: R2 (Analytical Reasoning).
Description not available at this time
This course offers a systematic and practical introduction to sample size and power analysis for the most commonly encountered scientific study designs. Students will learn the key conceptual elements and gain hands-on experience in computing sample size and power using relevant software (such as R, SAS, Stata, and PASS).