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

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: Aut, Win | Units: 5 | UG Reqs: WAY-SI
Instructors: ; Bhattacharya, J. (PI); Dickstein, M. (PI)

BIOMEDIN 201: Biomedical Informatics Student Seminar

Participants report on recent articles from the Biomedical Informatics literature or their research projects. Goals are to teach critical reading of scientific papers and presentation skills. May be repeated three times for credit.
Terms: Aut, Win, Spr, Sum | Units: 1 | Repeatable 3 times (up to 3 units total)
Instructors: ; Musen, M. (PI)

BIOMEDIN 208: Clinical Informatics Literature Review Seminar

Focus is on reading and discussing seminal papers in clinical and health informatics. Topics include biomedical informatics methods, systems design, implementation and evaluation. Limited enrollment.
Terms: Win | Units: 1
Instructors: ; Longhurst, C. (PI); Pageler, N. (PI); Palma, J. (PI)

BIOMEDIN 210: Modeling Biomedical Systems: Ontology, Terminology, Problem Solving (CS 270)

Methods for modeling biomedical systems and for making those models explicit in the context of building software systems. Emphasis is on intelligent systems for decision support and Semantic Web applications. Topics: knowledge representation, controlled terminologies, ontologies, reusable problem solvers, and knowledge acquisition. Recommended: exposure to object-oriented systems, basic biology.
Terms: Win | Units: 3
Instructors: ; Musen, M. (PI); Mortensen, J. (TA)

BIOMEDIN 217: Translational Bioinformatics (CS 275)

Analytic, storage, and interpretive methods to optimize the transformation of genetic, genomic, and biological data into diagnostics and therapeutics for medicine. Topics: access and utility of publicly available data sources; types of genome-scale measurements in molecular biology and genomic medicine; analysis of microarray data; analysis of polymorphisms, proteomics, and protein interactions; linking genome-scale data to clinical data and phenotypes; and new questions in biomedicine using bioinformatics. Case studies. Prerequisites: programming ability at the level of CS 106A and familiarity with statistics and biology.
Terms: Win | Units: 4
Instructors: ; Butte, A. (PI); Greenside, P. (GP); Kim, D. (GP); Tsang, E. (GP)

BIOMEDIN 218: Translational Bioinformatics Lectures

Same content as BIOMEDIN 217; for medical and graduate students who attend lectures and participate in limited assignments and final project. Analytic, storage, and interpretive methods to optimize the transformation of genetic, genomic, and biological data into diagnostics and therapeutics for medicine. Topics: access and utility of publicly available data sources; types of genome-scale measurements in molecular biology and genomic medicine; analysis of microarray data; analysis of polymorphisms, proteomics, and protein interactions; linking genome-scale data to clinical data and phenotypes; and new questions in biomedicine using bioinformatics. Case studies. Prerequisites: programming at the level of CS 106A; familiarity with statistics and biology.
Terms: Win | Units: 2
Instructors: ; Butte, A. (PI); Greenside, P. (GP); Kim, D. (GP); Tsang, E. (GP)

BIOMEDIN 219: Mathematical Models and Medical Decisions

Analytic methods for determining the optimal diagnostic and therapeutic decisions for the care of individual patients and for the design of policies affecting the care of patient populations. Topics: utility theory and probability modeling, empirical methods for estimating disease prevalence, probability models for periodic processes, binary decision-making techniques, Markov models of dynamic disease state problems, utility assessment techniques, parametric utility models, utility models for multidimensional outcomes, analysis of time-varying clinical outcomes, and the design of cost-contstrained clinical policies. Extensive problem sets compliment course materials. Prerequisites: introduction to calculus and basic statistics.
Terms: Win | Units: 2
Instructors: ; Higgins, M. (PI)

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

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

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: Aut, Win | Units: 5
Instructors: ; Bhattacharya, J. (PI); Dickstein, M. (PI)

BIOMEDIN 258: Genomics, Bioinformatics and Medicine (BIOC 158, BIOC 258, HUMBIO 158G)

Molecular basis of inherited human disease. Diagnostics approaches: simple Mendelian diseases and complex, multifactorial diseases. Genomics: functional genomics, epigenetics, gene expression, SNPs, copy number and other structural genomic variations involved in disease. Novel therapeutic methods: stem cell therapy, gene therapy and drug developments that depend on the knowledge of genomics. Personal genomics, pharmacogenomics, clinical genomics and their role in the future of preventive medicine. Prerequisites: BIO 41 or HUMBIO 2A or consent of instructor. Those with credit in BIOC 118 not eligible to enroll. Course webpage: http://biochem158.stanford.edu/
Terms: Aut, Win, Spr | Units: 3 | Repeatable 2 times (up to 6 units total)
Instructors: ; Brutlag, D. (PI)

BIOMEDIN 290: Biomedical Informatics Teaching Methods

Hands-on training in biomedical informatics pedagogy. Practical experience in pedagogical approaches, variously including didactic, inquiry, project, team, case, field, and/or problem-based approaches. Students create course content, including lectures, exercises, and assessments, and evaluate learning activities and outcomes. Prerequisite: instructor consent.
Terms: Aut, Win, Spr, Sum | Units: 1-6 | Repeatable 2 times (up to 12 units total)
Instructors: ; Altman, R. (PI); Ashley, E. (PI); Bagley, S. (PI); Bassik, M. (PI); Batzoglou, S. (PI); Bayati, M. (PI); Bejerano, G. (PI); Bhattacharya, J. (PI); Blish, C. (PI); Boahen, K. (PI); Brandeau, M. (PI); Brutlag, D. (PI); Bustamante, C. (PI); Butte, A. (PI); Chang, H. (PI); Cherry, J. (PI); Cohen, S. (PI); Covert, M. (PI); Das, A. (PI); Das, R. (PI); Davis, R. (PI); Desai, M. (PI); Dill, D. (PI); Dumontier, M. (PI); Elias, J. (PI); Fagan, L. (PI); Feldman, M. (PI); Ferrell, J. (PI); Fraser, H. (PI); Gambhir, S. (PI); Gevaert, O. (PI); Goldstein, M. (PI); Greenleaf, W. (PI); Guibas, L. (PI); Hastie, T. (PI); Hlatky, M. (PI); Holmes, S. (PI); Ji, H. (PI); Karp, P. (PI); Khatri, P. (PI); Kim, S. (PI); Kirkegaard, K. (PI); Klein, T. (PI); Koller, D. (PI); Krummel, T. (PI); Kundaje, A. (PI); Levitt, M. (PI); Levitt, R. (PI); Li, J. (PI); Longhurst, C. (PI); Lowe, H. (PI); Mallick, P. (PI); Manning, C. (PI); McAdams, H. (PI); Meng, T. (PI); Menon, V. (PI); Montgomery, S. (PI); Musen, M. (PI); Napel, S. (PI); Nolan, G. (PI); Olshen, R. (PI); Owen, A. (PI); Owens, D. (PI); Paik, D. (PI); Pande, V. (PI); Petrov, D. (PI); Plevritis, S. (PI); Poldrack, R. (PI); Pritchard, J. (PI); Riedel-Kruse, I. (PI); Rubin, D. (PI); Sabatti, C. (PI); Salzman, J. (PI); Shachter, R. (PI); Shafer, R. (PI); Shah, N. (PI); Sherlock, G. (PI); Sidow, A. (PI); Snyder, M. (PI); Tang, H. (PI); Taylor, C. (PI); Theriot, J. (PI); Tibshirani, R. (PI); Utz, P. (PI); Walker, M. (PI); Wall, D. (PI); Winograd, T. (PI); Xing, L. (PI); Habebo, T. (GP); Kanagawa, K. (GP); Thompson, J. (GP)

BIOMEDIN 299: Directed Reading and Research

For students wishing to receive credit for directed reading or research time. Prerequisite: consent of instructor. (Staff)
Terms: Aut, Win, Spr, Sum | Units: 1-18 | Repeatable for credit
Instructors: ; Altman, R. (PI); Ashley, E. (PI); Bagley, S. (PI); Bassik, M. (PI); Batzoglou, S. (PI); Bayati, M. (PI); Bejerano, G. (PI); Bhattacharya, J. (PI); Blish, C. (PI); Boahen, K. (PI); Brandeau, M. (PI); Brutlag, D. (PI); Bustamante, C. (PI); Butte, A. (PI); Chang, H. (PI); Cherry, J. (PI); Cohen, S. (PI); Covert, M. (PI); Das, A. (PI); Das, R. (PI); Davis, R. (PI); Desai, M. (PI); Dill, D. (PI); Dumontier, M. (PI); Elias, J. (PI); Fagan, L. (PI); Feldman, M. (PI); Ferrell, J. (PI); Fraser, H. (PI); Gambhir, S. (PI); Gevaert, O. (PI); Goldstein, M. (PI); Greenleaf, W. (PI); Guibas, L. (PI); Hastie, T. (PI); Hlatky, M. (PI); Holmes, S. (PI); Ji, H. (PI); Karp, P. (PI); Khatri, P. (PI); Kim, S. (PI); Kirkegaard, K. (PI); Klein, T. (PI); Koller, D. (PI); Krummel, T. (PI); Kundaje, A. (PI); Levitt, M. (PI); Li, J. (PI); Longhurst, C. (PI); Lowe, H. (PI); Mallick, P. (PI); Manning, C. (PI); McAdams, H. (PI); Meng, T. (PI); Menon, V. (PI); Montgomery, S. (PI); Musen, M. (PI); Napel, S. (PI); Nolan, G. (PI); Olshen, R. (PI); Owen, A. (PI); Owens, D. (PI); Paik, D. (PI); Pande, V. (PI); Petrov, D. (PI); Plevritis, S. (PI); Poldrack, R. (PI); Pritchard, J. (PI); Riedel-Kruse, I. (PI); Rubin, D. (PI); Sabatti, C. (PI); Salzman, J. (PI); Shachter, R. (PI); Shafer, R. (PI); Shah, N. (PI); Sherlock, G. (PI); Sidow, A. (PI); Snyder, M. (PI); Tang, H. (PI); Taylor, C. (PI); Theriot, J. (PI); Tibshirani, R. (PI); Tu, S. (PI); Utz, P. (PI); Walker, M. (PI); Wall, D. (PI); Winograd, T. (PI); Xing, L. (PI); Cisneros, S. (GP); Habebo, T. (GP); Kanagawa, K. (GP); Thompson, J. (GP)

BIOMEDIN 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
Instructors: ; Altman, R. (PI); Ashley, E. (PI); Bagley, S. (PI); Bassik, M. (PI); Batzoglou, S. (PI); Bayati, M. (PI); Bejerano, G. (PI); Bhattacharya, J. (PI); Blish, C. (PI); Boahen, K. (PI); Brandeau, M. (PI); Brutlag, D. (PI); Bustamante, C. (PI); Butte, A. (PI); Chang, H. (PI); Cherry, J. (PI); Cohen, S. (PI); Covert, M. (PI); Das, A. (PI); Das, R. (PI); Davis, R. (PI); Desai, M. (PI); Dev, P. (PI); Dill, D. (PI); Dumontier, M. (PI); Elias, J. (PI); Fagan, L. (PI); Feldman, M. (PI); Ferrell, J. (PI); Fraser, H. (PI); Gambhir, S. (PI); Gevaert, O. (PI); Goldstein, M. (PI); Greenleaf, W. (PI); Guibas, L. (PI); Hastie, T. (PI); Hlatky, M. (PI); Holmes, S. (PI); Ji, H. (PI); Karp, P. (PI); Khatri, P. (PI); Kim, S. (PI); Kirkegaard, K. (PI); Klein, T. (PI); Koller, D. (PI); Krummel, T. (PI); Kundaje, A. (PI); Levitt, M. (PI); Li, J. (PI); Longhurst, C. (PI); Lowe, H. (PI); Mallick, P. (PI); Manning, C. (PI); McAdams, H. (PI); Meng, T. (PI); Menon, V. (PI); Montgomery, S. (PI); Musen, M. (PI); Napel, S. (PI); Nolan, G. (PI); Olshen, R. (PI); Owen, A. (PI); Owens, D. (PI); Paik, D. (PI); Pande, V. (PI); Petrov, D. (PI); Plevritis, S. (PI); Poldrack, R. (PI); Pritchard, J. (PI); Riedel-Kruse, I. (PI); Rubin, D. (PI); Sabatti, C. (PI); Salzman, J. (PI); Shachter, R. (PI); Shafer, R. (PI); Shah, N. (PI); Sherlock, G. (PI); Sidow, A. (PI); Snyder, M. (PI); Tang, H. (PI); Taylor, C. (PI); Theriot, J. (PI); Tibshirani, R. (PI); Tu, S. (PI); Utz, P. (PI); Walker, M. (PI); Wall, D. (PI); Winograd, T. (PI); Xing, L. (PI); Habebo, T. (GP); Kanagawa, K. (GP); Thompson, J. (GP)

BIOMEDIN 390A: Curricular Practical Training

Provides educational opportunities in biomedical informatics research. Qualified biomedical informatics students engage in internship work and integrate that work into their academic program. Students register during the quarter they are employed and must complete a research report outlining their work activity, problems investigated, key results, and any follow-up on projects they expect to perform. BIOMEDIN 390A, B, and C may each be taken only once.
Terms: Aut, Win, Spr, Sum | Units: 1
Instructors: ; Bagley, S. (PI); Butte, A. (PI); Das, A. (PI); Fagan, L. (PI); Musen, M. (PI)

BIOMEDIN 390B: Curricular Practical Training

Provides educational opportunities in biomedical informatics research. Qualified biomedical informatics students engage in internship work and integrate that work into their academic program. Students register during the quarter they are employed and must complete a research report outlining their work activity, problems investigated, key results, and any follow-up on projects they expect to perform. BIOMEDIN 390A, B, and C may each be taken only once.
Terms: Aut, Win, Spr, Sum | Units: 1
Instructors: ; Bagley, S. (PI); Butte, A. (PI); Das, A. (PI); Fagan, L. (PI); Musen, M. (PI)

BIOMEDIN 390C: Curricular Practical Training

Provides educational opportunities in biomedical informatics research. Qualified biomedical informatics students engage in internship work and integrate that work into their academic program. Students register during the quarter they are employed and must complete a research report outlining their work activity, problems investigated, key results, and any follow-up on projects they expect to perform. BIOMEDIN 390A, B, and C may each be taken only once.
Terms: Aut, Win, Spr, Sum | Units: 1
Instructors: ; Bagley, S. (PI); Butte, A. (PI); Das, A. (PI); Fagan, L. (PI); Musen, M. (PI)

BIOMEDIN 801: TGR Master's Project

Project credit for masters students who have completed all course requirements and minimum of 45 Stanford units.
Terms: Aut, Win, Spr, Sum | Units: 0 | Repeatable for credit
Instructors: ; Altman, R. (PI); Ashley, E. (PI); Bagley, S. (PI); Bassik, M. (PI); Batzoglou, S. (PI); Bayati, M. (PI); Bejerano, G. (PI); Bhattacharya, J. (PI); Blish, C. (PI); Boahen, K. (PI); Brandeau, M. (PI); Brutlag, D. (PI); Bustamante, C. (PI); Butte, A. (PI); Chang, H. (PI); Cherry, J. (PI); Cohen, S. (PI); Covert, M. (PI); Das, A. (PI); Das, R. (PI); Davis, R. (PI); Desai, M. (PI); Dill, D. (PI); Dumontier, M. (PI); Elias, J. (PI); Fagan, L. (PI); Feldman, M. (PI); Ferrell, J. (PI); Fraser, H. (PI); Gambhir, S. (PI); Gevaert, O. (PI); Goldstein, M. (PI); Greenleaf, W. (PI); Guibas, L. (PI); Hastie, T. (PI); Hlatky, M. (PI); Holmes, S. (PI); Ji, H. (PI); Karp, P. (PI); Khatri, P. (PI); Kim, S. (PI); Kirkegaard, K. (PI); Klein, T. (PI); Koller, D. (PI); Krummel, T. (PI); Kundaje, A. (PI); Levitt, M. (PI); Li, J. (PI); Longhurst, C. (PI); Lowe, H. (PI); Mallick, P. (PI); Manning, C. (PI); McAdams, H. (PI); Meng, T. (PI); Menon, V. (PI); Montgomery, S. (PI); Musen, M. (PI); Napel, S. (PI); Nolan, G. (PI); Olshen, R. (PI); Owen, A. (PI); Owens, D. (PI); Paik, D. (PI); Pande, V. (PI); Petrov, D. (PI); Plevritis, S. (PI); Poldrack, R. (PI); Pritchard, J. (PI); Riedel-Kruse, I. (PI); Rubin, D. (PI); Sabatti, C. (PI); Salzman, J. (PI); Shachter, R. (PI); Shafer, R. (PI); Shah, N. (PI); Sherlock, G. (PI); Sidow, A. (PI); Snyder, M. (PI); Tang, H. (PI); Taylor, C. (PI); Theriot, J. (PI); Tibshirani, R. (PI); Tu, S. (PI); Utz, P. (PI); Walker, M. (PI); Wall, D. (PI); Winograd, T. (PI); Xing, L. (PI); Habebo, T. (GP); Kanagawa, K. (GP); Thompson, J. (GP)

BIOMEDIN 802: TGR PhD Dissertation

Terms: Aut, Win, Spr, Sum | Units: 0 | Repeatable for credit
Instructors: ; Altman, R. (PI); Ashley, E. (PI); Bagley, S. (PI); Bassik, M. (PI); Batzoglou, S. (PI); Bayati, M. (PI); Bejerano, G. (PI); Bhattacharya, J. (PI); Blish, C. (PI); Boahen, K. (PI); Brandeau, M. (PI); Brutlag, D. (PI); Bustamante, C. (PI); Butte, A. (PI); Chang, H. (PI); Cherry, J. (PI); Cohen, S. (PI); Covert, M. (PI); Das, A. (PI); Das, R. (PI); Davis, R. (PI); Desai, M. (PI); Dill, D. (PI); Dumontier, M. (PI); Elias, J. (PI); Fagan, L. (PI); Feldman, M. (PI); Ferrell, J. (PI); Fraser, H. (PI); Gambhir, S. (PI); Gevaert, O. (PI); Goldstein, M. (PI); Greenleaf, W. (PI); Guibas, L. (PI); Hastie, T. (PI); Hlatky, M. (PI); Holmes, S. (PI); Ji, H. (PI); Karp, P. (PI); Khatri, P. (PI); Kim, S. (PI); Kirkegaard, K. (PI); Klein, T. (PI); Koller, D. (PI); Krummel, T. (PI); Kundaje, A. (PI); Levitt, M. (PI); Li, J. (PI); Longhurst, C. (PI); Lowe, H. (PI); Mallick, P. (PI); Manning, C. (PI); McAdams, H. (PI); Meng, T. (PI); Menon, V. (PI); Montgomery, S. (PI); Musen, M. (PI); Napel, S. (PI); Nolan, G. (PI); Olshen, R. (PI); Owen, A. (PI); Owens, D. (PI); Paik, D. (PI); Pande, V. (PI); Petrov, D. (PI); Plevritis, S. (PI); Poldrack, R. (PI); Pritchard, J. (PI); Riedel-Kruse, I. (PI); Rubin, D. (PI); Sabatti, C. (PI); Salzman, J. (PI); Shachter, R. (PI); Shafer, R. (PI); Shah, N. (PI); Sherlock, G. (PI); Sidow, A. (PI); Snyder, M. (PI); Tang, H. (PI); Taylor, C. (PI); Theriot, J. (PI); Tibshirani, R. (PI); Tu, S. (PI); Utz, P. (PI); Walker, M. (PI); Wall, D. (PI); Winograd, T. (PI); Xing, L. (PI); Boyd, S. (GP); Habebo, T. (GP); Kanagawa, K. (GP); Thompson, J. (GP)
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