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11 - 20 of 24 results for: HRP

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 | Grading: Medical Option (Med-Ltr-CR/NC)

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 | Grading: Medical Option (Med-Ltr-CR/NC)

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 | Grading: Medical Option (Med-Ltr-CR/NC)
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 | Grading: Medical Option (Med-Ltr-CR/NC)
Instructors: Sainani, K. (PI)

HRP 265: Advanced Methods for Meta-Analysis

Meta-analysis is a method to quantitatively combine information from multiple studies; this combination is also called "research synthesis." Historically, it has been used to combine studies with a similar design, such as randomized controlled trials or observational studies examining similar interventions or exposures. However, evidence about a given relationship is often provided by many studies with different designs, or studies that can be "fit together" to create an evidence base. This can only be done with advanced meta-analytic methods. The course will cover advanced methods for research synthesis, including multivariate meta-analysis for multiple outcomes, generalized evidence synthesis of multiple study designs, and network meta-analysis for multiple interventions. These techniques are being increasingly used in evidence-based medicine, health technology assessments and policy making. Recommended preparation: HRP 206, and at least 2 quarters of biostatistics and one of epidemiology, including clinical research design. Familiarity with logistic and linear regression modeling required.
Terms: Spr | Units: 2 | Grading: Medical Option (Med-Ltr-CR/NC)
Instructors: Jansen, J. (PI)

HRP 282: Spanish for Medical Students (SPANLANG 123M)

Third quarter of three-quarter series. Goal is a practical and culturally appropriate command of spoken Spanish. Emphasis is on different specialties and medical conditions. Topics include anatomy, diagnostic procedures, HIV, diabetes, hypertension, and essential doctor-patient phrases when dealing with Spanish-speaking patients. Series can be taken independently, depending on the level of prior knowledge. Undergraduates are welcome to enroll.
Terms: Spr | Units: 2 | Grading: Medical Option (Med-Ltr-CR/NC)
Instructors: Corso, I. (PI)

HRP 290: Advanced Medical Spanish

Enrollment limited to medical students. Designed to further develop linguistic skills, covering all medical specialties according to student needs. Sessions also include topics on patient education and diseases, such as diabetes, asthma, TB, and CVDs.
Terms: Aut, Win, Spr | Units: 2 | Repeatable for credit | Grading: Medical Option (Med-Ltr-CR/NC)
Instructors: Corso, I. (PI)

HRP 292: Advanced Statistical Methods for Observational Studies (CHPR 266, 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 STAT 209 ( HRP 239), or equivalent. See http://rogosateaching.com/somgen290/
Terms: Spr | Units: 2-3 | Grading: Medical Option (Med-Ltr-CR/NC)

HRP 299: Directed Reading in Health Research and Policy

Epidemiology, health services research, preventive medicine, medical genetics, public health, economics of medical care, occupational or environmental medicine, international health, or related fields. May be repeated for credit. Prerequisite: consent of instructor.
Terms: Aut, Win, Spr, Sum | Units: 1-18 | Repeatable for credit | Grading: Medical Satisfactory/No Credit
Instructors: Alsan, M. (PI) ; Andrews, J. (PI) ; Asch, S. (PI) ; Assimes, T. (PI) ; Baiocchi, M. (PI) ; Baker, L. (PI) ; Basu, S. (PI) ; Bendavid, E. (PI) ; Bhattacharya, J. (PI) ; Bundorf, M. (PI) ; Butwick, A. (PI) ; Carmichael, S. (PI) ; Chan, D. (PI) ; Chertow, G. (PI) ; Corso, I. (PI) ; Cullen, M. (PI) ; Felsher, D. (PI) ; Fiorentino, D. (PI) ; Friedman, G. (PI) ; Garber, A. (PI) ; Gesundheit, N. (PI) ; Goldhaber-Fiebert, J. (PI) ; Goldstein, M. (PI) ; Goodman, S. (PI) ; Haberland, C. (PI) ; Halpern-Felsher, B. (PI) ; Heidenreich, P. (PI) ; Henderson, V. (PI) ; Hlatky, M. (PI) ; Hsing, A. (PI) ; Ingelsson, E. (PI) ; Ioannidis, J. (PI) ; Johnstone, I. (PI) ; Kessler, D. (PI) ; King, A. (PI) ; Kurian, A. (PI) ; Kurina, L. (PI) ; LaBeaud, D. (PI) ; Lee, J. (PI) ; Leonard, M. (PI) ; Leppert, J. (PI) ; Lu, Y. (PI) ; Luby, S. (PI) ; Macario, A. (PI) ; Maldonado, Y. (PI) ; Mello, M. (PI) ; Miller, G. (PI) ; Miller, G. (PI) ; Nelson, L. (PI) ; Odden, M. (PI) ; Owens, D. (PI) ; Palaniappan, L. (PI) ; Parsonnet, J. (PI) ; Pershing, S. (PI) ; Polyakova, M. (PI) ; Popat, R. (PI) ; Rehkopf, D. (PI) ; Rogosa, D. (PI) ; Rosas, L. (PI) ; Rossin-Slater, M. (PI) ; Sainani, K. (PI) ; Salomon, J. (PI) ; Sanders, L. (PI) ; Shaw, G. (PI) ; Shih, M. (PI) ; Simard, J. (PI) ; Stefanick, M. (PI) ; Studdert, D. (PI) ; Sun, E. (PI) ; Turakhia, M. (PI) ; Wang, C. (PI) ; West, D. (PI) ; Whittemore, A. (PI) ; Wise, P. (PI)

HRP 370: Medical Scholars Research

Provides an opportunity for student and faculty interaction, as well as academic credit and financial support, to medical students who undertake original research. Enrollment is limited to students with approved projects.
Terms: Aut, Win, Spr, Sum | Units: 4-18 | Repeatable for credit | Grading: Medical School MD Grades
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