HRP 89Q:
Introduction to Cross Cultural Issues in Medicine
Preference to sophomores. Introduction to social factors that impact health care delivery, such as ethnicity, immigration, language barriers, and patient service expectations. Focus is on developing a framework to understand culturally unique and nonEnglish speaking populations in the health care system.
Terms: Win

Units: 3

UG Reqs: GER:ECAmerCul

Grading: Letter or Credit/No Credit
HRP 199:
Undergraduate Research
Students undertake investigations sponsored by individual faculty members. Prerequisite: consent of instructor.
Terms: Aut, Win, Spr, Sum

Units: 118

Repeatable for credit

Grading: Letter or Credit/No Credit
Instructors: ;
Baker, L. (PI);
Bhattacharya, J. (PI);
Bundorf, M. (PI);
Coram, M. (PI);
Corso, I. (PI);
Efron, B. (PI);
Friedman, G. (PI);
Goldstein, M. (PI);
Hastie, T. (PI);
Heidenreich, P. (PI);
Henderson, V. (PI);
Hlatky, M. (PI);
Ioannidis, J. (PI);
Johnstone, I. (PI);
Kessler, D. (PI);
King, A. (PI);
Kurian, A. (PI);
Lavori, P. (PI);
Lu, Y. (PI);
Macario, A. (PI);
Maldonado, Y. (PI);
Miller, G. (PI);
Nelson, L. (PI);
Olshen, R. (PI);
Owens, D. (PI);
Parsonnet, J. (PI);
Popat, R. (PI);
Rogosa, D. (PI);
Sabatti, C. (PI);
Sainani, K. (PI);
Shih, M. (PI);
Sieh, W. (PI);
Simard, J. (PI);
Tian, L. (PI);
Tibshirani, R. (PI);
West, D. (PI);
Whittemore, A. (PI);
Wise, P. (PI);
Wong, W. (PI)
HRP 201B:
Health Policy PhD Core Seminar IIFirst Year (MED 215B)
Second in a threequarter seminar series is the core tutorial for firstyear Health Policy and Health Services Research graduate students. Major themes in fields of study including health insurance, healthcare financing and delivery, health systems and reform and disparities in the US and globally, health and economic development, health law and policy, resource allocation, efficiency and equity, healthcare quality, measurement and the efficacy and effectiveness of interventions. Blocks of session led by Stanford expert faculty in particular fields of study.
Terms: Win

Units: 2

Grading: Medical Option (MedLtrCR/NC)
HRP 206:
Metaresearch: Appraising Research Findings, Bias, and Metaanalysis (CHPR 206, MED 206, STATS 211)
Open to graduate, medical, and undergraduate students. Appraisal of the quality and credibility of research findings; evaluation of sources of bias. Metaanalysis as a quantitative (statistical) method for combining results of independent studies. Examples from medicine, epidemiology, genomics, ecology, social/behavioral sciences, education. Collaborative analyses. Project involving generation of a metaresearch project or reworking and evaluation of an existing published metaanalysis. Prerequisite: knowledge of basic statistics.
Terms: Win

Units: 3

Grading: Medical Satisfactory/No Credit
HRP 208:
Introduction to Concepts and Methods in Health Services and Policy Research II
Primarily for medical students in the Health Services and Policy Research scholarly concentration; continuation of 207. Topics include health economics, statistics, decision analysis, study design, quality measurement, cost benefit and effectiveness analysis, and evidence based guidelines. Recommended: 207.
Terms: Win

Units: 2

Grading: Medical Option (MedLtrCR/NC)
HRP 211:
Law and the Biosciences: Neuroscience
(Same as LAW 3006) Legal, social, and ethical issues arising from advances in neuroscience, including effects upon law and society through improvements in predicting illnesses and behaviors, reading minds through neuroimaging, understanding responsibility and consciousness, treating criminal behavior, and cognitive enhancement.
Terms: Win

Units: 3

Grading: Medical Option (MedLtrCR/NC)
HRP 214:
Scientific Writing
Stepbystep through the process of writing and publishing a scientific manuscript. How to write effectively, concisely, and clearly in preparation of an actual scientific manuscript. Students are encouraged to bring a manuscript on which they are currently working to develop and polish throughout the course. Please note 3units students will additionally write and revise a manuscript.
Terms: Win

Units: 23

Grading: Medical Satisfactory/No Credit
HRP 218:
Methods for Health Care Delivery Innovation, Implementation and Evaluation (CHPR 212, MED 212)
Preference given to postgraduate fellows and graduate students. Focus is on implementation science and evaluation of health care delivery innovations. Topics include implementation science theory, frameworks, and measurement principles; qualitative and quantitative approaches to designing and evaluating new health care models; hybrid design trials that simultaneously evaluate implementation and effectiveness; distinction between quality improvement and research, and implications for regulatory requirements and publication; and grantwriting strategies for implementation science and evaluation. Students will develop a mock (or actual) grant proposal to conduct a needs assessment or evaluate a Stanford/VA/community intervention, incorporating concepts, frameworks, and methods discussed in class. Priority for enrollment for CHPR 212 will be given to CHPR master's students.
Terms: Win

Units: 2

Grading: Medical Satisfactory/No Credit
HRP 219:
Evaluating Technologies for Diagnosis, Prediction and Screening
New technologies designed to monitor and improve health outcomes are constantly emerging, but most fail in the clinic and in the marketplace because relatively few are supported by reliable, reproducible evidence that they produce a health benefit. This course covers the designs and methods that should be used to evaluate technologies to diagnose patients, predict prognosis or other health events, or screen for disease. These technologies can include devices, statistical prediction rules, biomarkers, gene panels, algorithms, imaging, or any information used to predict a future or a previously unknown health state. Specific topics to be covered include the phases of test development, how to frame a proper evaluation question, measures of test accuracy, Bayes theorem, internal and external validation, prediction evaluation criteria, decision analysis, netutility, ROC curves, cstatistics, net reclassification index, decision curves and reporting standards. Examples of technology assessments and original methods papers are used. Software used in the course is R or Stata. Open to graduate students with a solid understanding of introductory biostatistics, epidemiologic and clinical research study design, and of medical conditions and related technologies required. Basic understanding of Stata or R is also required. Undergraduates may enroll with consent of instructor.
Terms: Win

Units: 3

Grading: Medical Option (MedLtrCR/NC)
HRP 226:
Intermediate Epidemiologic and Clinical Research Methods
The principles of study design, measurement, confounding, effect modification, and strategies for minimizing bias in clinical and epidemiologic studies. Prerequisite: 225 or consent of instructor.
Terms: Win

Units: 3

Grading: Medical Option (MedLtrCR/NC)
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 crosscutting 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 235:
Designing ResearchBased Interventions to Solve Global Health Problems (AFRICAST 135, AFRICAST 235, EDUC 135, EDUC 335, HUMBIO 26, MED 235)
The excitement around social innovation and entrepreneurship has spawned numerous startups focused on tackling world problems, particularly in the fields of education and health. The best social ventures are launched with careful consideration paid to research, design, and efficacy. This course offers students insights into understanding how to effectively develop, evaluate, and scale social ventures. Using TeachAIDS (an awardwinning nonprofit educational technology social venture used in 78 countries) as a primary case study, students will be given an indepth look into how the entity was founded and scaled globally. Guest speakers will include worldclass experts and entrepreneurs in Philanthropy, Medicine, Communications, Education, and Technology. Open to both undergraduate and graduate students.
Terms: Win

Units: 34

Grading: Letter or Credit/No Credit
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 238:
Genes and Environment in Disease Causation: Implications for Medicine and Public Health (HUMBIO 159)
The historical, contemporary, and future research and practice among genetics, epidemiology, clinical medicine, and public health as a source of insight for medicine and public health. Genetic and environmental contributions to multifactorial diseases; multidisciplinary approach to enhancing detection and diagnosis. The impact of the Human Genome Project on analysis of cardiovascular and neurological diseases, and cancer. Ethical and social issues in the use of genetic information. Prerequisite: basic course in genetics; for undergraduates, Human Biology core or equivalent or consent of instructor. This course must be taken for a minimum of 3 units and a letter grade to be eligible for Ways credit.
Terms: Win

Units: 23

Grading: Medical Option (MedLtrCR/NC)
HRP 239:
Statistical Methods for Group Comparisons and Causal Inference (EDUC 260A, STATS 209)
See http://rogosateaching.com/stat209/. Critical examination of statistical methods in social science and life sciences applications, especially for cause and effect determinations. Topics: mediating and moderating variables, potential outcomes framework, encouragement designs, multilevel models, heterogeneous treatment effects, matching and propensity score methods, analysis of covariance, instrumental variables, compliance, path analysis and graphical models, group comparisons with longitudinal data. Prerequisite: intermediatelevel statistical methods.
Terms: Win

Units: 3

Grading: Letter or Credit/No Credit
HRP 244:
Developing Measurement Tools for Health Research
The focus of this course is on providing the skills necessary to develop, validate and administer both qualitative and quantitative measures and instruments. Topics will include creating valid measures, ensuring the measures used address and apply to the research questions, design and samples; determining when to use standardized measures or develop new ones; instrument validation techniques; factor analysis; and survey administration, including determining the most effective way of administering measures (e.g., online, paperandpencil, ACASI) and the best way to design the survey.
Terms: Win

Units: 2

Grading: Medical Option (MedLtrCR/NC)
HRP 247:
Epidemic Intelligence: How to Identify, Investigate and Interrupt Outbreaks of Disease (HUMBIO 57)
We will cover: the components of public health systems in the US; principles of outbreak investigation and disease surveillance; different types of study design for field investigation; visualization and interpretation of public health data, including identification and prevention of biases; and implementation of disease control by public health authorities. Students will meet with leaders of health departments of the state and the county and will be responsible for devising and conducting their own investigation of a health problem. HUMBIO students must enroll in HUMBIO 57. HRP students must enroll in HRP 247.
Terms: Win

Units: 4

Grading: Letter or Credit/No Credit
HRP 261:
Intermediate Biostatistics: Analysis of Discrete Data (BIOMEDIN 233, STATS 261)
Methods for analyzing data from casecontrol and crosssectional studies: the 2x2 table, chisquare test, Fisher's exact test, odds ratios, MantelHaenzel methods, stratification, tests for matched data, logistic regression, conditional logistic regression. Emphasis is on data analysis in SAS. Special topics: crossfold validation and bootstrap inference.
Terms: Win

Units: 3

Grading: Medical Option (MedLtrCR/NC)
HRP 263:
Advanced Decision Science Methods and Modeling in Health (MED 263)
Advanced methods currently used in published modelbased costeffectiveness analyses in medicine and public health, both theory and technical applications. Topics include: Markov and microsimulation models, model calibration and evaluation, and probabilistic sensitivity analyses. Prerequisites: a course in probability, a course in statistics or biostatistics, a course on costeffectiveness such as HRP 392, a course in economics, and familiarity with decision modeling software such as TreeAge.
Terms: Win

Units: 3

Grading: Medical Option (MedLtrCR/NC)
HRP 273:
Essentials of Clinical Research at Stanford
The course will consist of an introduction to the fundamentals of clinical research at Stanford, including the science of clinical research (design and analysis) and logistics (GCP, data management, regulatory). Material will be covered in approximately 46 3 hour sessions per quarter.
Terms: Aut, Win

Units: 1

Grading: Medical Satisfactory/No Credit
HRP 281:
Spanish for Medical Students (SPANLANG 122M)
Second quarter of threequarter series.Goal is a practical and culturally appropriate command of spoken Spanish. Emphasis is on performing a physical examination. Topics include anatomy, general hospital procedures, reproductive health, emergency medicine, and essential doctorpatient phrases when dealing with Spanishspeaking patients. Series can be taken independently, depending on the level of prior knowledge. Undergraduates are welcome to enroll.
Terms: Win

Units: 2

Repeatable for credit

Grading: Medical Option (MedLtrCR/NC)
HRP 290:
Advanced Medical Spanish Oral Communication
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 (MedLtrCR/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: 118

Repeatable for credit

Grading: Medical Satisfactory/No Credit
Instructors: ;
Alsan, M. (PI);
Andrews, J. (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);
Fiorentino, D. (PI);
Friedman, G. (PI);
Garber, A. (PI);
Gesundheit, N. (PI);
GoldhaberFiebert, J. (PI);
Goldstein, M. (PI);
Goodman, S. (PI);
Haberland, C. (PI);
HalpernFelsher, 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);
Nelson, L. (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);
RossinSlater, 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: 418

Repeatable for credit

Grading: Medical School MD Grades
Instructors: ;
Alsan, M. (PI);
Baker, L. (PI);
Bhattacharya, J. (PI);
Bundorf, M. (PI);
Chan, D. (PI);
Coram, M. (PI);
Corso, I. (PI);
Efron, B. (PI);
Friedman, G. (PI);
Goldstein, M. (PI);
Haberland, C. (PI);
Hastie, T. (PI);
Heidenreich, P. (PI);
Henderson, V. (PI);
Hlatky, M. (PI);
Ioannidis, J. (PI);
Johnstone, I. (PI);
Kessler, D. (PI);
King, A. (PI);
Kurian, A. (PI);
Lavori, P. (PI);
Lu, Y. (PI);
Macario, A. (PI);
Maldonado, Y. (PI);
Miller, G. (PI);
Nelson, L. (PI);
Olshen, R. (PI);
Owens, D. (PI);
Parsonnet, J. (PI);
Polyakova, M. (PI);
Popat, R. (PI);
Rogosa, D. (PI);
Sabatti, C. (PI);
Sainani, K. (PI);
Shih, M. (PI);
Sieh, W. (PI);
Simard, J. (PI);
Studdert, D. (PI);
Tian, L. (PI);
Tibshirani, R. (PI);
West, D. (PI);
Whittemore, A. (PI);
Wise, P. (PI);
Wong, W. (PI)
HRP 391:
Health Law: Finance and Insurance (PUBLPOL 231)
(SAME AS LAW 3001, MGTECON 331) This course provides the legal, institutional, and economic background necessary to understand the financing and production of health services in the U.S. We will discuss the Affordable Care Act , health insurance (Medicare and Medicaid, employersponsored insurance, the uninsured), the approval process and IP protection for pharmaceuticals, and antitrust policy. We may discuss obesity and wellness, regulation of fraud and abuse, and medical malpractice. The syllabus for this course can be found at https://syllabus.stanford.edu. Elements used in grading: Participation, attendance, class presentation, and final exam.
Terms: Win

Units: 3

Grading: Medical Option (MedLtrCR/NC)
HRP 399:
Graduate Research
Investigations sponsored by individual faculty members. Prerequisite: consent of instructor.
Terms: Aut, Win, Spr, Sum

Units: 118

Repeatable for credit

Grading: Medical Satisfactory/No Credit
Instructors: ;
Alsan, M. (PI);
Andrews, J. (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);
Friedman, G. (PI);
Garber, A. (PI);
Gesundheit, N. (PI);
GoldhaberFiebert, J. (PI);
Goldstein, M. (PI);
Goodman, S. (PI);
Haberland, C. (PI);
HalpernFelsher, 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);
Nelson, L. (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);
RossinSlater, 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 800:
Second Year Health Policy PHD Tutorial
The goal of the second year tutorial is to provide PHD students with advanced training in health policy research and to assist them in successfully developing research proposals.
Terms: Aut, Win, Spr

Units: 3

Repeatable for credit

Grading: Medical Satisfactory/No Credit
Terms: Aut, Win, Spr, Sum

Units: 0

Repeatable for credit

Grading: TGR
Instructors: ;
Alsan, M. (PI);
Andrews, J. (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);
Friedman, G. (PI);
Garber, A. (PI);
Gesundheit, N. (PI);
GoldhaberFiebert, J. (PI);
Goldstein, M. (PI);
Goodman, S. (PI);
Haberland, C. (PI);
HalpernFelsher, 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);
Nelson, L. (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);
RossinSlater, 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);
Tian, L. (PI);
Turakhia, M. (PI);
Wang, C. (PI);
West, D. (PI);
Whittemore, A. (PI);
Wise, P. (PI)
HRP 802:
TGR Dissertation
Terms: Aut, Win, Spr, Sum

Units: 0

Repeatable for credit

Grading: TGR
Instructors: ;
Alsan, M. (PI);
Andrews, J. (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);
Friedman, G. (PI);
Garber, A. (PI);
Gesundheit, N. (PI);
GoldhaberFiebert, J. (PI);
Goldstein, M. (PI);
Goodman, S. (PI);
Haberland, C. (PI);
HalpernFelsher, 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);
Nelson, L. (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);
RossinSlater, 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)