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1 - 10 of 25 results for: HRP ; Currently searching autumn courses. You can expand your search to include all quarters

HRP 199: Undergraduate Research

Students undertake investigations sponsored by individual faculty members. Prerequisite: consent of instructor.
Terms: Aut, Win, Spr, Sum | Units: 1-18 | Repeatable for credit | Grading: Letter or Credit/No Credit

HRP 207: Introduction to Concepts and Methods in Health Services and Policy Research I

Primarily for medical students in the Health Services and Policy Research scholarly concentration. Topics include health economics, statistics, decision analysis, study design, quality measurement, cost benefit and effectiveness analysis, and evidence based guidelines.
Terms: Aut | Units: 2 | Grading: Medical Satisfactory/No Credit

HRP 223: Introduction to Data Management and Analysis in SAS

Provides hands-on introduction to basic data management and analysis techniques using SAS. Data management topics include: Introduction to SAS and SAS syntax, importing data, creating and reading SAS datasets, data cleaning and validation, creating new variables, and combining data sets. Analysis techniques include: basic descriptive statistics (e.g., means, frequency) and bivariate procedures for continuous and categorical variables (e.g., t-tests, chi-squares).
Terms: Aut | Units: 2 | Grading: Medical Satisfactory/No Credit

HRP 225: Design and Conduct of Clinical and Epidemiologic Studies

Intermediate-level. The skills to design, carry out, and interpret epidemiologic studies, particularly of chronic diseases. Topics: epidemiologic concepts, sources of data, cohort studies, case-control studies, cross-sectional studies, sampling, measures of association, estimating sample size, and sources of bias. Prerequisite: A basic/introductory course in statistics or consent of instructor.
Terms: Aut | Units: 3 | Grading: Medical Option (Med-Ltr-CR/NC)
Instructors: Popat, R. (PI)

HRP 229: Spectrum Scholars Seminar

Preference to trainees awarded Stanford internal KL2, TL1 grants. Focus is on students and junior faculty who have received a Spectrum KL2 or TL1 Award. Discussions include progress and challenges involved in starting and conducting clinical research, current courses, time management and resources; support from peers; education and professional development. All scholars are required to attend a weekly seminar series meeting throughout the year that will cover an array of cross-cutting methodological topics with published examples of implementation. Prerequisite: Awarded a Spectrum KL2, TL1 Grant or Spectrum UL1
Terms: Aut, Win, Spr, Sum | Units: 1 | Repeatable for credit | Grading: Medical Satisfactory/No Credit

HRP 234: Engineering Better Health Systems: modeling for public health (HUMBIO 154A, MED 254)

This course teaches engineering, operations research and modeling techniques to improve public health programs and systems. Students will engage in in-depth study of disease detection and control strategies from a "systems science" perspective, which involves the use of common engineering, operations research, and mathematical modeling techniques such as optimization, queuing theory, Markov and Kermack-McKendrick models, and microsimulation. Lectures and problem sets will focus on applying these techniques to classical public health dilemmas such as how to optimize screening programs, reduce waiting times for healthcare services, solve resource allocation problems, and compare macro-scale disease control strategies that cannot be easily evaluated through randomized trials. Readings will complement the lectures and problem sets by offering critical perspectives from the public health history, sociology, and epidemiology. In-depth case studies from non-governmental organizations, departm more »
This course teaches engineering, operations research and modeling techniques to improve public health programs and systems. Students will engage in in-depth study of disease detection and control strategies from a "systems science" perspective, which involves the use of common engineering, operations research, and mathematical modeling techniques such as optimization, queuing theory, Markov and Kermack-McKendrick models, and microsimulation. Lectures and problem sets will focus on applying these techniques to classical public health dilemmas such as how to optimize screening programs, reduce waiting times for healthcare services, solve resource allocation problems, and compare macro-scale disease control strategies that cannot be easily evaluated through randomized trials. Readings will complement the lectures and problem sets by offering critical perspectives from the public health history, sociology, and epidemiology. In-depth case studies from non-governmental organizations, departments of public health, and international agencies will drive the course. Prerequisites: A course in introductory statistics, and a course in multivariable calculus including ordinarily differential equations. Open to upper-division undergraduate students and graduate students. Human Biology majors enroll in HUMBIO 154A. Prerequisite: MATH 51 or CME 100 and Human Biology Core or Bio 141 or BioHopk 174H
Terms: Aut | Units: 4 | Grading: Letter or Credit/No Credit
Instructors: Basu, S. (PI)

HRP 236: Epidemiology Research Seminar

Weekly forum for ongoing epidemiologic research by faculty, staff, guests, and students, emphasizing research issues relevant to disease causation, prevention, and treatment. May be repeated for credit.
Terms: Aut, Win, Spr | Units: 1 | Repeatable for credit | Grading: Medical Satisfactory/No Credit

HRP 243: Health Policy Seminar: Health Care Delivery

This seminar course is intended to introduce students to the role of policy in the delivery of healthcare in the United States. Speakers will include a mix of Stanford faculty and experts in health care financing delivery from around the bay area. There will be no assignments and lunch will be provided.
Terms: Aut | Units: 1 | Repeatable for credit | Grading: Medical Satisfactory/No Credit

HRP 245: Intensive Course in Clinical Research

The Intensive Course in Clinical Research (ICCR) is a one-week immersion course designed for new or aspiring clinical investigators, medical students, residents, graduate students, fellows and junior faculty interested in pursuing careers in clinical and transnational research. Students spend five days and four evenings immersed in all aspects of research study design and performance. The format combined didactic with intense group/team activities focused on practical issues in clinical research design - from selection of a researchable study question through actual writing of a research proposal. Lectures and panel discussions are presented by an accomplished faculty of Stanford clinical researchers and key leaders from the Stanford community. Every presentation includes a discussion of relevant issues. The course is supported by over 40 faculty and fellows from across the School of Medicine.
Terms: Aut | Units: 2 | Grading: Medical Option (Med-Ltr-CR/NC)
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