Course Descriptions

As of summer 2022, due to some university system upgrades, all course numbers are changing.  Most courses in our program will change to have a zero added to the end.  For example, EPID 580 will now be EPID 5800.  

Exceptions: 

  • EPID 900 will now be EPID 9900.
  • EPID 526 (which is split into two parts) will now be EPID 5260A for summer and EPID 5260B for fall.
  • EPID 527 (which is split into two parts) will now be EPID 5270A for fall and EPID 5270B for spring.
EPID 5100 - Introductory Epidemiology
Summer II Term
1 course unit
Prerequisite: Permission of Instructor
This course is a series of lectures and workshops, designed to teach basic principles of epidemiologic research design. The course provides an overview of the types of research questions that can be addressed by epidemiologic methods. Topics covered include: definitions of epidemiology; measures of disease frequency; measures of effect and association; epidemiologic study designs, both experimental and non-experimental; and an overview of analysis of epidemiologic studies.
EPID 5160 - Mathematical Models for the Control of Infectious Diseases
Fall term
1 course unit
Prerequisite: Permission of Instructor
As infectious diseases are transmitted from one host to another, the dynamics of transmission in the population of hosts follow certain basic rules. If one knows and understands these rules, one can plan rational strategies to prevent or control infections. One of the principal tools of those interested in public health interventions to control or ameliorate infectious diseases is the mathematical model. A model is just a means of representing and manipulating something that would not otherwise be accessible. This elective course provides students with the opportunity to construct models of the transmission of infectious diseases and to use these models to plan or compare disease control strategies. The course is predicated upon the notion that the act of building a mathematical model of disease transmission is often the very best way of understanding what is going on. This understanding will be further refined by the examination of more complicated and sophisticated model structures as they appear in the recent published literature.  
EPID 5180 (PUBH 5170) - Geography & Public Health
Fall term
1 course unit
Prerequisite: Permission of Instructor
This course will provide an introduction to GIS in public health research and practice.  Through a series of lectures and labs students will explore theories linking health and the environment, spatial analysis and spatial epidemiology, and applications of GIS-related data collection and analysis.
EPID 5260 - Biostatistics for Epidemiologic Methods I
Fall term (first half of term), Summer II Term
1 course unit
Prerequisite: Permission of Instructor
The first half of this will cover graphical methods, probability, discrete and continuous distributions, estimation, confidence intervals, and one sample hypothesis testing. Emphasis is placed on understanding the proper application and interpretation of the methods. The second half of this course will cover two sample hypothesis testing, nonparametric techniques, sample size determination, correlation, regression, analysis of variance, and analysis of covariance. Emphasis is placed on understanding the proper application and underlying assumptions of the methods presented. Laboratory sessions focus on the use of the STATA statistical package and applications to clinical data.
EPID 5270 - Biostatistics for Epidemiologic Methods II
Fall term (second half of term), Spring term (first half of term)
1 course unit
Prerequisite: Permission of Instructor
The first half of this covers concepts in biostatistics as applied to epidemiology, primarily categorical data analysis, analysis of case-control, cross-sectional, cohort studies, and clinical trials. Topics include simple analysis of epidemiologic measures of effect; stratified analysis; confounding; interaction, the use of matching, and sample size determination. Emphasis is placed on understanding the proper application and underlying assumptions of the methods presented. Laboratory sessions focus on the use of the STATA and other statistical packages and applications to clinical data. The second half of this course covers concepts in biostatistics as applied to epidemiology, primarily multivariable models in epidemiology for analyzing case-control, cross-sectional, cohort studies, and clinical trials. Topics include logistic, conditional logistics, and Poisson regression methods; simple survival analyses including Cox regression. Emphasis is placed on understanding the proper application and underlying assumptions of the methods presented. Laboratory sessions focus on the use of the STATA and other statistical packages and applications to clinical data.
EPID 5340 - Qualitative Methods in the Study of Health, Disease and Medical Systems
Fall term
1 course unit
Prerequisite: Previous course work in research methods or Permission of Instructor
This course combines informal lecture and discussion with practical exercises to build specific skills for conducting qualitative research on healthcare, broadly defined. Readings include books and papers about research methodology and articles that provide exemplars and pitfalls of qualitative research. Specific topics covered include: the role of theory in qualitative research, method-research question fit, collecting different types of qualitative data (observation, interview, focus group, text, video), ethical issues in qualitative research, establishing rigor in qualitative research, introduction to qualitative data analysis using software, mixing methods, approaches for obtaining grant funding for qualitative research and writing up qualitative research studies for publication. The objectives of this course are: 1) To introduce the student to the epistemological underpinning of qualitative methodology; 2) To review how to select the best qualitative approach for different research questions; 3) To introduce the student to different qualitative data collection techniques; 4) To review standards of methodological rigor in qualitative research; 5) To introduce the basic principles of qualitative data analysis using NVivo software; 6) To provide practical advice about planning, getting funding for and implementing a qualitative study.
EPID 5360 - Data Management and Visualization I 
Spring term (second half of term)
0.5 course unit
Prerequisite: Permission of Instructor; EPID 5100, EPID 5260, EPID 5270
This is the first course in a two-course series that seeks to enhance MSCE students’ comfort and acumen in all aspects of clinical epidemiological data management and presentation, particularly graphical representation of results. The course progresses from best practices in data collection and database use to advanced data management, summarization of results, and data visualization, all of which are grounded in the prioritization of producing efficient and reproducible research processes. The first part of the course focuses on basic data collection, harmonization, and integration with Stata software; best practices for data variable derivation and creation; merging and appending datasets; management of dates and times; assessing free text data; production of descriptive and regression tables; descriptive and regression model visualization; and the use of Stata Markdown files such that research reports can be created directly from Stata.
EPID 5370 - Data Management and Visualization II 
Summer I Term
0.5 course unit
Prerequisite: Permission of Instructor; EPID 5360
This is the second course in a two-course series that seeks to enhance MSCE students’ comfort and acumen in all aspects of clinical epidemiological data management and presentation, particularly graphical representation of results. The second part builds directly onto the topics covered in the first part of the two-course series. Topics that will be covered include advanced data manipulation, management, and visualization of longitudinal, clustered, and time-to-event data; dealing with specific data types such as ICD-9 and 10 codes, cost data; assessing and imputing certain types of missing data; importing various data websites; and other selected topics based on student projects and feedback. By the end of the two-course series, students will become fluent in the Stata statistical language and be uniquely positioned to advance their independent clinical epidemiological careers through best research and data presentation practices.
EPID 5400 - Injury and the Public's Health
Spring term
1 course unit
Prerequisite: Permission of Instructor
Please check with Department as this course is not offered every year.  This course offers students an introduction to the field of injury and violence prevention. As a major cause of death and disability throughout the world, injury is a leading public health problem. Prominent types of injuries to be discussed include those relating to motor vehicles, falls, and firearms. Behavioral, biological, economic, and social issues concerning the implementation of injury reduction policies are emphasized through case studies as well as injuries in the workplace, in the home, and during recreation.
EPID 5420 - Measurement of Health in Epidemiology
Fall term (first half of term)
0.5 course unit
Prerequisite: Permission of Instructor, EPID 5100
This course addresses the measurement of epidemiological variables, which broadly encompasses the tasks involved in obtaining data, without which analyses cannot proceed. Course topics to be discussed include: defining the concepts of exposure, disease, and health; approaches to measuring exposures, which may be personal (i.e., psychological, behavioral, biological, or genetic) or environmental (i.e., physical, chemical, social, or organizational); approaches to measuring disease and health status; assessing the validity and reliability of measurement instruments; problems of misclassification of exposure status and disease status; missing data; instrument (e.g., questionnaire) development; and qualitative methods. 
EPID 5460 - Clinical Database Research Methodology
Fall term (second half of term)
0.5 course unit
Prerequisite: Permission of Instructor, EPID 5100
This course will discuss appropriate selection of automated databases for research questions of interest; assessment of drug exposures; validation of health outcomes of interest; and addressing biases, confounding, and missing data in databases. We will also review key aspects of protocol development for database studies and discuss research grant applications related to these studies. 
EPID 5500 - Clinical Economics and Decision Making
Fall term, Spring term
1 course unit
Prerequisite: Permission of Instructor
This course focuses on the application of decision analysis and economic analysis to clinical and policy research. The course begins with material about the selection, use, and analysis of diagnostic tests using two by two tables, likelihood ratios, and ROC curves. The course continues with the introduction of more general tools for decision analysis, including decision trees and other mathematical models. Special emphasis is placed on the assessment and use of utilities in these models. A major focus of the course is the application of economic principles to the evaluation of health outcomes. During seminars, students will carry out practical exercises that include problem solving, critically analyzing published articles, and learning to use computer software that facilitates decision and economic analyses.
EPID 5600 - Issues in Research Protocol Development
Spring term
0.25 course unit
Prerequisite: Candidates for the Master of Science in Clinical Epidemiology (MSCE) degree only
This is a seminar that focuses on major issues in research protocol development, including methodological issues regarding different research designs, development of research questions, and plans for analysis. Each student will present his or her research proposal for open discussion during one of the seminar sessions.
EPID 5700 - Critical Appraisal of the Medical Literature
Spring term
0.25 course unit
Prerequisite: Candidates for the Master of Science in Clinical Epidemiology (MSCE) degree only
This seminar focuses on techniques for critical appraisal of the medical literature. Each student will be responsible for at least one critical appraisal session covering different epidemiologic topics (including the evaluation of diagnostic tests, clinical course and prognosis of disease, disease etiology or causation, therapy, quality of clinical care, economic evaluation, and meta-analysis). For his/her session, each student will appraise critically a journal article and lead the discussion concerning that article.
EPID 5750 - Introduction to Genetic Epidemiology
Spring term
1 course unit
Prerequisite: Permission of Instructor
Recent advances have made it feasible to incorporate data on potential genetic risk factors into traditional epidemiologic studies. Hence, there is an increasing need for epidemiologists to understand the genetic basis of disease, read, and interpret genetic studies, and incorporate the collection and analysis of genetic information into studies of disease etiology. The objectives of this course are to provide epidemiologists with an understanding of: 1) basic genetics, 2) the tools used by geneticists and genetic epidemiologists, and 3) the integration of genetic data into traditional epidemiologic study designs. After completing this course, students will be able to read and interpret genetic epidemiologic studies. In addition, they will be able to design epidemiologic studies that incorporate genetic data collection and analysis.
EPID 5800 - Outcomes Research
Fall term
1 course unit
Prerequisite: EPID 5260 or equivalent, EPID 5270 or equivalent, and Permission of Instructor
This course is divided into two main parts. The first part addresses issues related to the measurement of quality in health care. Included is a review of the classical structure-process-outcome quality paradigm. The paradigm's strengths and limitations are addressed. This part especially focuses on outcome measures of quality, and examine the validity of alternative measures. The second part deals with observational, or quasi-experimental, research studies. It addresses the advantages and limitations of alternative designs, and covers the role of clinical risk adjustment in observational studies of medical interventions. It focuses on the problem of selection bias, and reviews recent methods for dealing with this bias, such as instrumental variables.
EPID 5840 - Health Disparities Research
Summer I Term
1 course unit
Prerequisite: EPID 5100; EPID 5260
This course will provide an overview of research in health disparities.  It will cover the historical aspects, concepts, policy, economic, genomic, and social perspectives of health disparities. It will provide students with methodological tools for health disparities research and introduce students to ongoing health disparities research by current Penn and affiliated faculty members. The course is composed of a series of weekly small group lectures and discussion, including critical appraisal of published papers, guest faculty presentations, and student presentations. Students will be expected to attend weekly meetings and participate in class discussions, prepare and lead discussions of assigned papers, review assigned readings, and draft and present a scientific protocol of their choosing related to health disparities.
EPID 6000 - Data Science for Biomedical Informatics
Fall term
1 course unit
Prerequisite: Permission of Instructor
Data science refers broadly to using statistics and informatics techniques to gain insights from large datasets. Biomedical informatics refers to a range of disciplines that use computational approaches to analyze biomedical data to answer pre-specified questions as well as to discover novel hypotheses. In this course, we will use R and other freely available software to learn fundamental data science applied to a range of biomedical informatics topics, including those making use of health and genomic data. After completing this course, students will be able to retrieve and clean data, perform exploratory analyses, build models to answer scientific questions, and present visually appealing results to accompany data analyses; be familiar with various biomedical data types and resources related to them; and know how to create reproducible and easily shareable results with R and github.
EPID 6100 - Tutorial in Epidemiologic Research
Fall term, Spring term, Summer I Term, Summer II Term
1 course unit
Prerequisite: Candidates for the Master of Science in Clinical Epidemiology (MSCE) degree only
This is a tutorial given by each student's advisor. Advisor and student meet regularly, usually weekly. Topics include: discussion and review of epidemiologic concepts and principles, guided readings in the epidemiology of a specific health area, and the development of the research protocol. Credit for this course is awarded upon completion of a research project proposal, the one to be used to fulfill the MSCE thesis requirement, which must be approved by the student's advisor. Evaluation is based on the grade received for the proposal.
EPID 6210 - Longitudinal and Clustered Data
Fall term
1 course unit
Prerequisite: Completion of EPID 5270 or equivalent preparation in biostatistics, including generalized linear models, principles of first-year calculus and matrix algebra. Permission of Instructor
An introduction to the principles of and methods for longitudinal and clustered data analysis with special emphasis on clinical, epidemiologic, and public health applications; marginal and conditional methods for continuous and binary outcomes; mixed effects and hierarchical models; and simulations for power calculations. Knowledge of Stata and SAS.
EPID 6220 - Applied Regression Models for Categorical Data
Fall term (first half of term)
0.5 course unit
Prerequisite: EPID 5100 or equivalent and EPID 5260 or equivalent
This course will provide in-depth treatment of several topics in categorical data analysis. After a brief review of methods for contingency tables, we will introduce the idea of generalized linear models, and focus on two special cases – multiple logistic regression and loglinear models. Each topic will be presented in detail by stating the model and covering parameter estimation and interpretation, inference, model building, regression diagnostics and assessment of model fit. Finally, we will cover extensions to both models, including models for multinomial data, analysis of matched-pair data, and random effects models. Topics will be illustrated in class with examples, and we will discuss the use of Stata to conduct the analyses.
EPID 6230 - Survival Data Analysis
Fall term (second half of term)
0.5 course unit
Prerequisite: EPID 5100 or equivalent and EPID 5260 or equivalent, and Permission of Instructor
This course will focus on the specialized issues related to the analysis of survival or time-to-event data. The course begins by closely examining the features unique to survival data which distinguishes these data from other more familiar types. Topics include non-parametric survival analysis methods, common survival functions, parametric survival models, the proportional hazards model, and common model checking methods. All methods will be illustrated by in class examples and homework sets.
EPID 6240 - Methods in Patient Centered Outcomes and Effectiveness Research
Spring term
1 course unit
Prerequisite: EPID 5100 or equivalent and EPID 5260 or equivalent
The goal of this course is to provide a broad overview to methods used in patient centered outcomes and effectiveness research. Expert faculty will lecture on topics such as standards for research questions, systematic reviews, patient/stakeholder engagement, causal inference, heterogeneity of treatment effect, handling missing data, data registries, pragmatic trials, diagnostic tests, health care disparities, evaluating the impact of communication interventions, and testing innovations in health care systems. Grading will largely be based on participation in class discussions.
EPID 6250 - Advanced Biostatistical Methods for Multivariable Prediction Models
Fall term
0.5 course unit
Prerequisite: EPID 5260, EPID 5270 or equivalent preparation in either categorical analysis or survival analysis. Working knowledge of either Stata, SAS or R to fit regression, logistic regression and/or Cox regression models.
This course is an introduction to statistical methods that can be used to evaluate biomarker prognostic studies and multivariate prediction models. Topics will include biostatistical evaluation of biomarkers, predictive models based on various regression modeling strategies and classification trees, assessing the predictive ability of a model; internal and external validation of models; and updating prognostic models with new variables or for use in different populations. Students will learn about the statistical methods that are required by current reporting guidelines for biomarker prognostic studies or the reporting guidelines for multivariable prediction models. 
EPID 6300 - Clinical Trials
Spring term
1 course unit
Prerequisite: EPID 5100 or equivalent and EPID 5260 or equivalent, and Permission of Instructor
This course is to serve as a general introduction to clinical trials. This course will emphasize trial design issues. This is not a course on the biostatistics of clinical trials. It is expected that at the conclusion of the course, a student will be able to plan a clinical trial. Each class will consist of a two-hour lecture followed by a one-hour discussion. The weekly session will focus on either a group discussion of the assigned reading or on a practical application based on the material presented during the two-hour lecture.
EPID 6340 - Clinical Trial Outcomes: Measurement, Analysis, and Interpretation
Fall term
1 course unit
Prerequisite: EPID 5100 or equivalent and Permission of Instructor
Please check with Department as this course is not offered every year. This course is intended to teach students the skills necessary to select and/or design appropriate outcomes for a clinical trial. Students will focus on recent changes in our understanding of clinical trial outcome measurements, analyses, and interpretation for both subjective and objective phenomenon, such as adherence, use of multiple outcomes, and clinical importance. While design issues for clinical trials are the main focus, other types of clinical studies will be considered as appropriate. Students will be expected to learn about the problems inherent in the design of outcome measures of health and how to apply different epidemiologic and biostatistical concepts toward a solution. It is expected that at the conclusion of the course, students will be able to plan a clinical trial with a valid, responsive and interpretable outcome.
EPID 6360 - Epidemiologic Methods for Acute Care Research
Spring term
1 course unit
Prerequisite: EPID 5100 or equivalent and Permission of Instructor
Please check with Department as this course may not be offered every year. This is an advanced seminar that will cover nuanced methodological considerations and logistical challenges of research in acute care settings (e.g. prehospital, emergency department, hospital, and intensive care units).  Topics to be covered with regards to primary data collection include: recruitment and consent, outcomes measurement, survey and qualitative research, clinical trials, quality improvement, decision making and cognitive biases, end-of-life issues, and acute care research networks.  Topics to be covered with regards to secondary data analysis include: data sources, risk adjustment, missing data, causal inference, predictive modeling, decision rules, variability in care, organizational factors, and economic analyses.  The course will finish with a discussion of the landscape for obtaining funding for acute care research.  Weekly sessions will include expert guest lectures, review of landmark papers, and round-table discussion of the students’ ongoing research projects as they pertain to issues covered in the course.  
EPID 6380 - Topics in Clinical Trial Design and Analysis
Fall term
1 course unit
Prerequisite: EPID 6300 or equivalent, and Permission of Instructor
This course is intended to follow, and be complementary to EPID 630: Clinical Trials. It will build on the basic principles of design, conduct, and analysis introduced in that course and will go into more detail on particular approaches. Topics covered will include noninferiority trials, phase 1 designs, multi-stage and other adaptive designs, graphical data presentations and current ethical controversies in clinical trials.
EPID 6400 - Advanced Topics in Epidemiology
Spring term
1 course unit
Prerequisite: EPID 5100 or equivalent, EPID 5260 or equivalent, EPID 5270 or equivalent, and Permission of Instructor
This course is designed to introduce students to advanced epidemiologic methods through a series of readings and discussions. The course aims to deepen the students' understanding of important concepts and controversies in contemporary epidemiology and to enhance their ability to think critically about empirical epidemiologic research. The course is intended for students who already are familiar with the fundamentals of epidemiology and biostatistics, and who wish to gain an understanding of the complex issues underlying epidemiologic study design and interpretation. Each week, one student will be responsible for leading a portion of the discussion of the assigned readings, in conjunction with a faculty member. Topics include: causal inference; study designs; use of large databases for research; predicting outcomes; and complex sampling methods.  
EPID 6440 - Cardiopulmonary Epidemiology
Summer II Term
1 course unit
Prerequisite: EPID 5100 or equivalent, EPID 5260 or equivalent, and Permission of Instructor
Please check with Department as this course may not be offered every year.  This is an advanced course that addresses epidemiological research issues as they apply to important clinical topics in cardiovascular and pulmonary medicine. Lectures and workshops are designed to acquaint students with the classic literature in the fields of cardiovascular and pulmonary epidemiology, to use a body of literature to demonstrate the strengths and weaknesses of epidemiological research designs as they have been applied to cardiovascular and pulmonary medicine, to expose students to the range of topics studied, to teach advanced epidemiological principles using a problem-based approach, and to stimulate students to develop independent research questions.
EPID 6450 - Cancer Epidemiology, Biomarkers, and Prevention
Spring term
1 course unit
Prerequisite: EPID 5100 or equivalent, EPID 5260 or equivalent, EPID 5270 or equivalent, and Permission of Instructor
Please check with Department as this course may not be offered every year. Research in cancer etiology, prevention, treatment, and control includes a wide range of subject matter science, from the initial molecular changes which precede the development of cancer to issues of primary care guidelines for cancer survivors. The course reviews the possible study designs applied to cancer etiology, prevention, treatment, and control. These include randomized controlled trials and multiple types of observational studies (cohort, case-control, cross-sectional). Other topics will include causal inference, bias, and effect modification.
EPID 6460 - Reproductive Epidemiology
Spring term
1 course unit
Prerequisite: EPID 5100 or equivalent, EPID 5260 or equivalent, EPID 5270 or equivalent, and Permission of Instructor
Note: Course is offered every other spring term, even-numbered years. This is an advanced course that addresses epidemiological research issues as they apply to important clinical topics in obstetrics and gynecology and related clinical disciplines. Lectures and workshops are designed to acquaint students with seminal issues in the field of reproductive epidemiology, to use a body of literature to demonstrate the strengths and weaknesses of epidemiological research designs as they have been applied to obstetrics and gynecology and related clinical disciplines, to expose students to the range of topics studied, to teach advanced epidemiologic principles using a problem-based approach, and to stimulate students interested in reproductive epidemiology to develop independent research questions.
EPID 6520 - Renal and Urologic Epidemiology
Spring term
1 course unit
Prerequisite: EPID 5100 or equivalent, EPID 5260 or equivalent, EPID 5270 or equivalent, and Permission of Instructor
Please check with Department as this course is not offered every year. The objective of this course is to prepare students to function as effective, independent researchers in the fields of renal and urologic epidemiology by providing the students an understanding of how epidemiologic research can and has advanced the knowledge of diseases in treatments of renal and urologic medicine. The structure of the course consists of a lecture series, accompanying workshops, and student presentations. The courses goals are: to acquaint students with some of the classic literature in the fields of renal and urologic epidemiology, to use a body of literature to demonstrate the strengths and weaknesses of epidemiologic research designs as they have been applied to renal and urologic medicine, to teach advanced epidemiologic principles using a problem-based approach, and to expose students to the rationale of topics studied by faculty in the CCEB and the adult and pediatric nephrology and urology divisions at Penn and CHOP.  
EPID 6560 - Epidemiological Research Methods in Infectious Diseases
Summer I Term
1 course unit
Prerequisite: EPID 5100 or equivalent, EPID 5260 or equivalent, a course that covers logistical regression, such as EPID 5270 or equivalent, and Permission of Instructor
​Please check with Department as this course may not be offered every year. This is an advanced course addressing epidemiological issues as they apply to important clinical topics in infectious diseases. Lectures and discussions will serve two primary goals: 1) to explore epidemiologic methods specific to infectious diseases (e.g., adherence to therapy) or which have important applications to infectious diseases (e.g., molecular epidemiology); and 2) to explore the epidemiology of particular infectious diseases or syndromes (e.g., HIV). This course will acquaint students with the classic literature in the field of infectious diseases epidemiology, teach advanced epidemiological principles using a problem-based approach, and demonstrate the strengths and weaknesses of research methodologies as they have been applied to infectious diseases.
EPID 6580 - GI Epidemiology
Spring term
1 course unit
Prerequisite: EPID 5100 or equivalent
Note: Course is offered every other spring term, odd-numbered years.​ This course provides an in-depth presentation of advanced methodological issues in conducting clinical epidemiological research in the field of gastroenterology.
EPID 6640 - Methods in Neurologic Clinical Epidemiology
Spring term
0.5 course unit
Prerequisite: Permission of Instructor
Note: Course is offered every other spring term, even-numbered years.​ This course/ seminar will introduce students to methods and study design principles that are specific or unique to clinical research and trials in neurology, child neurology, neuro-ophthalmology, neurosurgery, and related fields.
EPID 6660 - Methods for Real-World Evidence on Therapeutics
Spring term
1 course unit
Prerequisite: EPID 5100 or equivalent; EPID 5260 or equivalent; a course that covers logistic regression, such as EPID 5270 or equivalent; and Permission of Instructor
Please check with Department as this course may not be offered every year.  The purpose of this course is to explore and integrate concepts and considerations that are key to the conduct of pharmacoepidemiologic research. The format will be a mixture of seminar, instructor-led discussion, student-led discussion, and student presentations. Papers from the applied and methods literature will be used to illustrate concepts and as springboards for discussion. Topics covered include use of automated databases, pharmacogenomics, and approaches to addressing confounding.
EPID 6720 - Biostatistical Methods to Address Confounding
Summer I Term
1 course unit
Prerequisite: EPID 5100 or equivalent; EPID 5260 or equivalent; EPID 5270 or equivalent; and Permission of Instructor
Please check with Department as this course may not be offered every year. This course is designed to teach epidemiology students the statistical principles of analysis specific to pharmacoepidemiology study designs including the use of propensity scores, inverse probability weighting, instrumental variables and time varying covariates. Each of the twelve sessions includes both a lecture component and a laboratory component. Students will learn the statistical principles and then apply them to example study datasets. Laboratory sessions will be conducted on students’ laptops using STATA software.  
EPID 6740 - Measuring the Microbiome: Methods and Tools
Fall term
1 course unit
Prerequisite: EPID 5100; EPID 5260; EPID 5270; EPID 5420 or Permission of Instructors
Please check with Department as this course may not be offered every year.  This is an advanced course addressing the methods and tools used to analyze microbiome data, as well as their implications for clinical study design. The course will include: (1) lectures focused on how the microbiome is measured, approaches to the analysis of highly multivariate microbiome data, and the bioinformatic tools used to execute these analyses; (2) hands-on R and command-line coding to build familiarity with commonly used tools and analytic methods; and (3) short, practical assignments to reinforce the lectures and classwork. The course will acquaint students with classic literature in the field of microbiome research and prepare students to integrate microbiome data collection and analysis with epidemiologic research methodologies.
EPID 6750 - Advanced Methods for Analysis of Complex Genetic Traits
Fall term
1 course unit
Prerequisite: EPID 5750 or equivalent; Linear Models, Multivariate Analysis preferred; and Permission of Instructor
Please check with Department as this course may not be offered every year.  The recent explosion in the availability of molecular level data coupled with technological advancements allowing for large-scale sequencing creates an exciting opportunity to tailor treatment decisions to the specific genetic characteristics of a patient. Epidemiological studies will provide the tools to draw from this vast array of molecular data as well as well-established environmental risk factors to predict disease outcomes. However, understanding analytic methods for characterizing the complex interactions among genetic polymorphisms, biomarkers, environmental factors, and disease outcomes is imperative to draw meaningful and relevant conclusions from these studies. Through this course, students will understand and present advanced statistical methods and how they can be applied to the study of complex genetics traits.
EPID 7000 - Doctoral Seminar in Epidemiology
Spring term
1 course unit
Prerequisite: Permission of Instructor, Candidates for the PhD in Epidemiology only
The theme of the seminar will change each year and will generally cover topics not addressed elsewhere in the curriculum. 
EPID 7100 - Research Design Consultation
Fall term, Spring term, Summer I Term, Summer II Term
1 course unit
Prerequisite: Candidates for the PhD in Epidemiology only
Students will devote at least 100 hours working with faculty on projects related to the Center for Clinical Epidemiology and Biostatistics' Consultation Service or on other projects as approved by the course director.  The goal of this course is to provide real-world consulting experience for doctoral students.  Accordingly, the requirements for the course cannot be met by serving as a teaching assistant or working in the role of an analyst or other project staff.
EPID 7110 - Environmental Epidemiology
Spring term
1 course unit
Prerequisite: Permission of Instructor
Environmental Epidemiology is an advanced epidemiology course that addresses epidemiological research methods used to study environmental exposures from air pollution to heavy metals, and from industrial pollutants to consumer product chemicals. The course will provide an overview of major study designs in environmental epidemiology, including cohort studies, panel studies, natural experiments, randomized controlled trials, time-series, and case-crossover studies. The course will discuss disease outcomes related to environmental exposures, including cancer and diseases of cardiovascular, respiratory, urinary, reproductive, and nervous systems. Case studies in environmental epidemiology will be discussed to provide details of research methods and findings.
EPID 7140 - Grant Writing
Summer I Term
0.5 course unit
Prerequisite: EPID 5100, EPID 5260, EPID 5600, and EPID 5700, or Permission of Instructor
This course is designed to provide background and guidance on writing and submitting NIH grants. Students will submit a mini proposal at the beginning of the term. Each proposal will be reviewed by a group of students from the class and scores will be given. The final project will be a full NIH proposal ready for submission.
EPID 7750 - Special Topics in Genetic and Molecular Epidemiology
1 course unit
Prerequisite: EPID 5750 or equivalent, EPID 6750 or equivalent, and Permission of Instructor
This modular course meets the needs of students who require specialized instruction and hands-on training in specific topics that are not available in a traditional course setting. Multiple modules are available, providing advanced training in specific methods in genetic and molecular epidemiology, including the possibility of laboratory rotations to obtain hands-on laboratory experience. Each student may choose up to four modules for study during the semester-long course. Each module includes readings, meetings with faculty, problem sets, laboratory analysis, or analysis of data, as appropriate.
EPID 9900 - Master Thesis
Fall term, Spring term, Summer I Term, Summer II Term
0.5 to 4 course units
Prerequisite: Candidates for the Master of Science in Clinical Epidemiology (MSCE) degree only
These are a series of tutorial sessions conducted by the student's advisor, which are to support the student's efforts in developing a research protocol, designing a research project, and completing the study.
EPID 9990 - Independent Study in Clinical Epidemiology
0.5 to 4 course units
Prerequisite: Permission of Faculty Required
This is a preceptorship that can be arranged with any of the CCEB faculty. The subject area and specific requirements are to be arranged as well.

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