CHPR 290: Advanced Statistical Methods for Observational Studies (EDUC 260B, HRP 292, STATS 266)
Design principles and statistical methods for observational studies. Topics include: matching methods, sensitivity analysis, and instrumental variables. 3 unit registration requires a small project and presentation. Computing is in R. Pre-requisites:
HRP 261 and 262 or
STATS 209 (
HRP 239), or equivalent. See
http://rogosateaching.com/somgen290/
Terms: Spr
| Units: 2-3
Instructors:
Baiocchi, M. (PI)
;
Rogosa, D. (PI)
HRP 262: Intermediate Biostatistics: Regression, Prediction, Survival Analysis (STATS 262)
Methods for analyzing longitudinal data. Topics include Kaplan-Meier methods, Cox regression, hazard ratios, time-dependent variables, longitudinal data structures, profile plots, missing data, modeling change, MANOVA, repeated-measures ANOVA, GEE, and mixed models. Emphasis is on practical applications. Prerequisites: basic ANOVA and linear regression.
Terms: Spr
| Units: 3
Instructors:
Sainani, K. (PI)
HRP 292: Advanced Statistical Methods for Observational Studies (CHPR 290, EDUC 260B, STATS 266)
Design principles and statistical methods for observational studies. Topics include: matching methods, sensitivity analysis, and instrumental variables. 3 unit registration requires a small project and presentation. Computing is in R. Pre-requisites:
HRP 261 and 262 or
STATS 209 (
HRP 239), or equivalent. See
http://rogosateaching.com/somgen290/
Terms: Spr
| Units: 2-3
Instructors:
Baiocchi, M. (PI)
;
Rogosa, D. (PI)
MED 262: Economics of Health Improvement in Developing Countries (ECON 127)
Application of economic paradigms and empirical methods to health improvement in developing countries. Emphasis is on unifying analytic frameworks and evaluation of empirical evidence. How economic views differ from public health, medicine, and epidemiology; analytic paradigms for health and population change; the demand for health; the role of health in international development. Prerequisites:
ECON 50 and
ECON 102B.
Terms: Spr
| Units: 5
Instructors:
Alsan, M. (PI)
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