## EPI 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
(up to 99 units total)

Instructors:
Assimes, T. (PI)
;
Baiocchi, M. (PI)
;
Bondy, M. (PI)
...
more instructors for EPI 199 »

Instructors:
Assimes, T. (PI)
;
Baiocchi, M. (PI)
;
Bondy, M. (PI)
;
Carmichael, S. (PI)
;
Chertow, G. (PI)
;
Cullen, M. (PI)
;
Fisher, P. (PI)
;
Goodman, S. (PI)
;
Halpern-Felsher, B. (PI)
;
Henderson, V. (PI)
;
Hsing, A. (PI)
;
Ioannidis, J. (PI)
;
John, E. (PI)
;
King, A. (PI)
;
Kurian, A. (PI)
;
LaBeaud, D. (PI)
;
Lee, J. (PI)
;
Linos, E. (PI)
;
Lu, Y. (PI)
;
Luby, S. (PI)
;
Maahs, D. (PI)
;
Maldonado, Y. (PI)
;
Nelson, L. (PI)
;
Odden, M. (PI)
;
Palaniappan, L. (PI)
;
Parsonnet, J. (PI)
;
Popat, R. (PI)
;
Rehkopf, D. (PI)
;
Robinson, T. (PI)
;
Rodriguez Espinosa, P. (PI)
;
Rosas, L. (PI)
;
Sainani, K. (PI)
;
Sanders, L. (PI)
;
Shaw, G. (PI)
;
Simard, J. (PI)
;
Stefanick, M. (PI)
;
Whittemore, A. (PI)

## EPI 216: Analytical and Practical Issues in the Conduct of Clinical and Epidemiologic Research

(Formerly
HRP 216) Topics include: advanced aspects of study design and data analyses; evaluating confounding and interaction; modeling continuous characteristics of exposure; building prediction models; methods of summarizing literature and quantifying effect sizes (meta-analysis); handling missing data; and propensity score methods. 3 units requires a data analysis project. Prerequisites: 258 or 261, or consent of instructor

Terms: Spr
| Units: 2-3

Instructors:
Popat, R. (PI)

## EPI 220: Deploying and Evaluating Fair AI in Healthcare (BIOMEDIN 223)

AI applications are proliferating throughout the healthcare system and stakeholders are faced with the opportunities and challenges of deploying these quickly evolving technologies. This course teaches the principles of AI evaluations in healthcare, provides a framework for deployment of AI in the healthcare system, reviews the regulatory environment, and discusses fundamental components used to evaluate the downstream effects of AI healthcare solutions, including biases and fairness. Prerequisites:
CS106A; familiarity with statistics (
stats 202), BIOMED 215, or
BIODS 220

Terms: Spr
| Units: 3

Instructors:
Hernandez-Boussard, T. (PI)

## EPI 229: Stanford CTSA Scholars Seminar

Preference to trainees awarded Stanford internal KL2, TL1 grants. Focus is on students and junior faculty who have received a CTSA 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 CTSA KL2, TL1 Grant or Spectrum UL1

Terms: Aut, Win, Spr, Sum
| Units: 1
| Repeatable
8 times
(up to 8 units total)

Instructors:
Goodman, S. (PI)

## EPI 236: Epidemiology Research Seminar

(Formerly
HRP 236) 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
15 times
(up to 15 units total)

## EPI 251: Design and Conduct of Clinical Trials

(Formerly
HRP 251) 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

## EPI 253: Cancer Epidemiology and Prevention

(Formerly
HRP 253) This course focuses on the role of epidemiology in cancer etiology, prevention, and control. We will discuss descriptive epidemiology, including cancer trends and patterns, natural history, and biologic characteristics as well as etiology of selected cancers. the influence of environmental and genetic factors and their interplay on the development of cancer are discussed as well as methodologic issues related to investigations of these studies. Principles and problems involved in cancer prevention and screening are covered. Student evaluation is based on a brief presentation and a paper on the descriptive epidemiology of a selected cancer, and participation in class discussions.

Terms: Spr
| Units: 3

Instructors:
Hsing, A. (PI)

## EPI 258: Introduction to Probability and Statistics for Clinical Research

(Formerly
HRP 258) 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)
;
Nepomuceno, A. (TA)

## EPI 262: Intermediate Biostatistics: Regression, Prediction, Survival Analysis (STATS 262)

(Formerly
HRP 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)
;
Sigurdson, M. (TA)

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