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41 - 50 of 73 results for: HRP

HRP 251: Design and Conduct of Clinical Trials

The rationale for phases 1-3 clinical trials, the recruitment of subjects, techniques for randomization, data collection and endpoints, interim monitoring, and reporting of results. Emphasis is on the theoretical underpinnings of clinical research and the practical aspects of conducting clinical trials.
Terms: Spr | Units: 3

HRP 252: Outcomes Analysis (BIOMEDIN 251, MED 252)

Methods of conducting empirical studies which use large existing medical, survey, and other databases to ask both clinical and policy questions. Econometric and statistical models used to conduct medical outcomes research. How research is conducted on medical and health economics questions when a randomized trial is impossible. Problem sets emphasize hands-on data analysis and application of methods, including re-analyses of well-known studies. Prerequisites: one or more courses in probability, and statistics or biostatistics.
Terms: Spr | Units: 4

HRP 254: Quality & Safety in U.S. Healthcare (SURG 255)

The course will provide an in-depth examination of the quality & patient safety movement in the US healthcare system, the array of quality measurement techniques and issues, and perspectives of quality and safety improvement efforts under the current policy landscape.
Terms: Win | Units: 3

HRP 255: Observational Studies (STATS 355)

This course will cover statistical methods for the design and analysis of observational studies. Topics for the course will include the potential outcomes framework for causal inference; randomized experiments; methods for controlling for observed confounders in observational studies; sensitivity analysis for hidden bias; instrumental variables; tests of hidden bias; coherence; and design of observational studies.

HRP 256: Economics of Health and Medical Care (BIOMEDIN 156, BIOMEDIN 256, ECON 126)

Institutional, theoretical, and empirical analysis of the problems of health and medical care. Topics: demand for medical care and medical insurance; institutions in the health sector; economics of information applied to the market for health insurance and for health care; measurement and valuation of health; competition in health care delivery. Graduate students with research interests should take ECON 249. Prerequisites: ECON 50 and either ECON 102A or STATS 116 or the equivalent. Recommended: ECON 51.
Terms: Spr | Units: 5

HRP 257: Advanced Topics in the Economics of Health and Medical Care (MED 265)

Emphasis is on research studies in health economics. Seminar style course focuses on Health Economics. To be taken with HRP 256. Students will be expected to read and present papers to the group and discuss concepts with faculty. Restricted to second year PhD students in economics & economics-related disciplines.
Terms: Spr | Units: 2 | Repeatable 2 times (up to 4 units total)

HRP 258: Introduction to Probability and Statistics for Clinical Research

Open to medical and graduate students; required of medical students in the Clinical Research Scholarly Concentration. Tools to evaluate medical literature. Topics include random variables, expectation, variance, probability distributions, the central limit theorem, sampling theory, hypothesis testing, confidence intervals, correlation, regression, analysis of variance, and survival analysis.
Terms: Spr | Units: 3
Instructors: Sainani, K. (PI)

HRP 259: Introduction to Probability and Statistics for Epidemiology

Topics: random variables, expectation, variance, probability distributions, the central limit theorem, sampling theory, hypothesis testing, confidence intervals. Correlation, regression, analysis of variance, and nonparametric tests. Introduction to least squares and maximum likelihood estimation. Emphasis is on medical applications. Differential between 3 and 4 units is the amount of out-of-class work required.
Terms: Aut | Units: 3-4
Instructors: Sainani, K. (PI)

HRP 261: Intermediate Biostatistics: Analysis of Discrete Data (BIOMEDIN 233, STATS 261)

Methods for analyzing data from case-control and cross-sectional studies: the 2x2 table, chi-square test, Fisher's exact test, odds ratios, Mantel-Haenzel methods, stratification, tests for matched data, logistic regression, conditional logistic regression. Emphasis is on data analysis in SAS. Special topics: cross-fold validation and bootstrap inference.
Terms: Win | Units: 3
Instructors: Sainani, K. (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)
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