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.
- Teacher: Ken Kleinman
Principles of statistics applied to analysis of biological and health data, evaluation of public health and clinical programs. Gen Ed: R2 (Analytical Reasoning).
- Teacher: Raji Balasubramanian
Description not available at this time
- Teacher: Leontine Alkema
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).
- Teacher: Xiangrong Kong