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Epidemiology and Clinical Research
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  1. Home
  2. Programs
  3. Graduate
  4. Epidemiology And Clinical Research
  5. Doctor of Philosophy

Doctor of Philosophy

PhD
  • Epidemiology opens in a new tab
Program Minimum Units
46 Units
University Minimum Units
135 Units
Program Length
6 Years
Interests
Public Health, Data and Information Sciences, Helping Others, Community Engagement & Organizing, Studying the Past
Academic Areas
Health Sciences, Medicine, Social Sciences

Overview

The PhD program in Epidemiology and Clinical Research provides methodologic and interdisciplinary training to equip students to conduct cutting-edge epidemiologic research and develop new methodology. The program trains students in the tools of modern epidemiology, with heavy emphasis on statistics, causal inference, computer science, genetics, genomics, and informatics. We welcome applicants with diverse backgrounds.

Requirements

Program Requirements

Core Courses

Except for EPI 264, all Core Courses must be taken for a letter grade and passed with a grade of B or higher. A grade of B- or lower triggers automatic review by the PhD Program Committee, which will determine the remediation plan and, in some cases, whether the student can continue in the PhD program.

Complete all of the following requirements:
Core Epidemiology Sequence (11 units)
Complete all of the following course(s):
EPI 225

Introduction to Epidemiologic and Clinical Research Methods

3 Units
EPI 226

Intermediate Epidemiologic and Clinical Research Methods

3 Units
EPI 227

Advanced Epidemiologic Methods

3 Units
EPI 264

Foundations of Statistical and Scientific Inference

1-2 Units
and
Biostatistics Sequence (9 units)
Complete all of the following course(s):
EPI 259

Introduction to Probability and Statistics for Epidemiology

3 Units
EPI 261

Intermediate Biostatistics: Analysis of Discrete Data

3 Units
EPI 262

Intermediate Biostatistics: Regression, Prediction, Survival Analysis

3 Units

Research Seminars and Grant Writing (8 units)

Complete all of the following course(s):
BIOS 242

Writing Compelling Fellowships and Career Development Awards

2 Units
or
BIOS 425

Online Proposal Bootcamp

2 Units
EPI 236

Epidemiology Research Seminar

1 Units
EPI 246

Epidemiology Doctoral Seminar

1 Units
MED 255

The Responsible Conduct of Research

1 Units

3 quarters of EPI 236 are required. Students are encouraged to attend more.

Students are required to take EPI 246 in spring quarter of year 1 and spring quarter of year 2. Students must register for this course to earn the units. All PhD students are encouraged to attend EPI 246 seminars even when unregistered.

BIOS 242 and BIOS 425 are recommended to take in spring quarter of year 2.

Methodologic Coursework (9 units)

Complete at least 3 and earn at least 9 units in the following course(s):
BMDS 215

Data Science for Medicine

3 Units
BMDS 217

Translational Bioinformatics

3-4 Units
CS 106A

Programming Methodology

3-5 Units
CS 229

Machine Learning

3-4 Units
CS 246

Mining Massive Data Sets

3-4 Units
EPI 206

Meta-research: Appraising Research Findings, Bias, and Meta-analysis

3 Units
EPI 219

Evaluating Technologies for Diagnosis, Prediction and Screening

3 Units
EPI 270

Big Data Methods for Behavioral, Social, and Population Health Research

2-3 Units
HRP 252

Outcomes Analysis

4 Units
HRP 392

Introduction to Cost-Effectiveness Analysis: Evaluating Benefits and Costs of Health Interventions

4-5 Units
STATS 200

Introduction to Theoretical Statistics

3-4 Units
STATS 202

Statistical Learning and Data Science

3 Units
STATS 203

Regression Models and Analysis of Variance

3 Units
STATS 204

Sampling

3 Units
STATS 205

Introduction to Nonparametric Statistics

3 Units
STATS 207

Time Series Analysis

3 Units
STATS 270

Bayesian Statistics

3 Units

Any 200-level STATS course (other than STATS 260) will fulfill the requirement.

Note: If you are interested in another course, please check with the PhD program director or advisor to make sure that it is compatible with this requirement.

Specializations and Electives (9 units, at least 3 different substantive content areas)

Students must take electives from at least three substantive content areas for a minimum of 9 units. Below are examples of different areas and a longer list of electives. Students should check with the PhD program director and/or their advisor to determine if other classes are compatible with this requirement.

Examples of areas and specializations

Example set 1:

Global Health

EPI 237: Practical Approaches to Global Health Research (IPS 290, MED 226)

Genetic Epidemiology

EPI 224: Genetic Epidemiology (GENE 230)

BIO 247: Genomic Approaches to the Study of Human Disease

 Cancer Epidemiology

EPI 253: Cancer Epidemiology and Prevention

Example set 2:

Pharmacoepidemiology

GENE 224/BIOMEDIN 224 opens in a new tab: Principles of Pharmacogenomics

Social and Behavioral Epidemiology

EPI 263: Social Epidemiology

Community-based participatory research

EPI 272: The Science of Community Engagement in Health Research

EPI 282: Community-Based Participatory Research for Health

CHPR 247: Methods in Community Assessment, Evaluation, and Research

Training Grant Requirements - Specializations

The following requirements apply only to students funded by a T32 training grant. Students who are not on a T32 training grant can, but are not required to, complete these courses:

EPI 203: Methods for Reproducible Population Health and Clinical Research

and by the specific T32 grant:

Cancer T32:

CBIO 240: Molecular and Genetic Basis of Cancer

EPI 224: Genetic Epidemiology

EPI 253: Cancer Epidemiology and Prevention

The Cancer T32 curriculum includes additional elective courses. Trainees should discuss with their advisor to make sure their elective courses will help them reach their specific training objectives. Potential electives include (but are not limited to) the following courses. EPI 263: Social Epidemiology; EPI 248: Human Health and the Environment; CHPR 232: Social and Structural Determinants of Health; EPI 282: Community-Based Participatory Research for Health; BIO 247: Genomic Approaches to the Study of Human Disease; COMM 382: Big Data and Causal Inference.

BSSR T32:

EPI 270: Big Data Methods for Behavioral, Social, and Population Health Research

The BSSR curriculum includes additional core requirements across multiple domains (including data mining and machine learning, informatics, and causal inference). Trainees should discuss with their advisor to make sure that they are meeting the programmatic requirements.

For example, this includes, but is not limited to, courses such as STATS 315B, STATS 202, CS 246, and ECON 293 for the Data Mining – Machine Learning requirement; or, BSSR Specialty Offerings in Mobile - Digital Health; Social Medial – Internet Data – Citizen Science Data; and Clinical Trials – Experimental Studies.

Complete at least 3 and earn at least 9 units in the following course(s):
BIO 247

Genomic approaches to the study of human disease

3 Units
CBIO 240

Molecular and Genetic Basis of Cancer

4 Units
CHPR 242

The Science of Well-being: A Global Perspective

3 Units
CHPR 247

Pragmatic Skills for Mixed Methods Community Research

3 Units
CHPR 288

Cancer in Asian Americans: Epidemiology and Prevention

2 Units
EPI 203

Methods for Reproducible Population Health and Clinical Research

2 Units
EPI 214

Scientific Writing

2-3 Units
EPI 223

Introduction to Data Management and Analysis in SAS & R

2-3 Units
EPI 224

Genetic Epidemiology

3 Units
EPI 231

Epidemiology of Infectious Diseases

3 Units
EPI 237

Practical Approaches to Global Health Research

1-3 Units
EPI 238

Genes and Environment in Disease Causation: Implications for Medicine and Public Health

2-3 Units
EPI 240

Reproductive and Perinatal Epidemiology

3 Units
EPI 244

Developing Measurement Tools for Health Research

2 Units
EPI 247

Epidemic Intelligence: How to Identify, Investigate and Interrupt Outbreaks of Disease

4 Units
EPI 248

Human Health and the Environment

2 Units
EPI 253

Cancer Epidemiology and Prevention

3 Units
EPI 258

Introduction to Probability and Statistics for Clinical Research

3 Units
EPI 263

Social Epidemiology

2 Units
EPI 265

Using Real-World Data for Clinical and Population Health Research 

2 Units
EPI 267

Life Course Epidemiology

2 Units
EPI 272

The Science of Community Engagement in Health Research

3 Units
EPI 282

Community-Based Participatory Research for Health

3 Units
EPI 297

History of Epidemiology

2 Units
GENE 224

Principles of Pharmacogenomics

3 Units
HRP 224

Social Entrepreneurship and Innovation Lab (SE Lab) - Human & Planetary Health

1-4 Units
HRP 263

Advanced Decision Science Methods and Modeling in Health

3 Units
HRP 391

Health Law: Finance and Insurance

3 Units
HRP 392

Introduction to Cost-Effectiveness Analysis: Evaluating Benefits and Costs of Health Interventions

4-5 Units
MED 262

Economics of Health Improvement in Developing Countries

5 Units

EPI 297 is highly recommended.

Upon completion of the required coursework listed above, students may take additional courses as needed to satisfy the university's minimum degree requirement of 135 credits.

Advancement to Candidacy

Epidemiology PhD students must pass the Preliminary Written Exams and the Oral Qualifying Exam before being admitted to candidacy. Please see Admission to Candidacy opens in a new tab for information and form.

Preliminary Written Exams

Doctoral students in Epidemiology and Clinical Research must complete and pass the Preliminary Written Exam given around the end of winter term of their second year of full-time enrollment in the program. This exam marks the transition from full-time coursework to the research phase for PhD students and assesses readiness for this transition. The goal is to ensure that students are set up for success as they begin working on their dissertation proposals and research in earnest. This evaluation is designed to examine students’ ability to apply fundamental epidemiologic and biostatistical principles and methods based on knowledge from the core courses listed below.  

EPI 225: Introduction to Epidemiologic and Clinical Research Methods

EPI 226: Intermediate Epidemiologic and Clinical Research Methods

EPI 227: Advanced Epidemiologic Methods

EPI 264: Foundations of Statistical and Scientific Inference (STATS 264)

EPI 259: Introduction to Probability and Statistics for Epidemiology

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

EPI 262: Intermediate Biostatistics: Regression, Prediction, Survival Analysis

Each year, the exam will be written by a subcommittee composed of the Epidemiology Program core faculty. Clarifying questions should be directed at the PhD director. Details of the exam, including the timing and process for any given year (e.g., exam dates, faculty contact), will be in a separate document produced each year. Every member of the faculty subcommittee will independently evaluate each exam and be blind to student identity during grading. The subcommittee will then convene and discuss student responses (still blinded) and come to a consensus on the overall outcome for each student.

Students are encouraged to study together and review core course materials, which are the foundation of the exams. The exam will take place over two consecutive days. [JS1] 

Day one: A closed-book written exam will test core epidemiologic concepts in short-form including multiple choice, brief calculations, and short answer response questions. This part of the exam assesses critical foundational knowledge that epidemiologists are expected to have mastered. This exam will last a total of three hours.

Day two: Students will be given a paper to read and a series of epidemiology questions based on that paper. This will require in-depth thinking and may include content such as short essay questions, calculations, study design, and/or a mock peer review of a journal article. Students will have from 8:00 a.m. to 5:00 p.m. to complete the exam.

Oral Qualifying Exam

Epidemiology PhD students must pass the Oral Qualifying Exam before advancing to candidacy. Students must demonstrate adequate knowledge of epidemiology and related fields and the potential to conduct and present original research.

Timing of the Oral Exam:

Students should take their Oral Qualifying Exam by the end of autumn quarter of Year 3 of their PhD career. To be eligible to take the exam, students must have:

  1. Passed the preliminary examination (typically given in the winter quarter of Year 2)

  2. Identified a Primary Research Advisor who is affiliated with EPH and is willing to supervise the student’s PhD program and dissertation

  3. Completed the entire epidemiology PhD core curriculum

  4. Maintained a Stanford graduate GPA of at least 3.0 

Purpose of the Exam:

The Oral Qualifying exam has several goals:

  1. To encourage students to review and synthesize their graduate learning

  2. To ensure that the student has adequate breadth and depth of knowledge in epidemiology and related fields

  3. To determine whether the student has sufficient breadth and depth of knowledge of the dissertation topic, including, where relevant, a clear understanding of the pathogenesis of the disease under investigation

  4. To determine whether the student has adequate analytic and communication skills to be a successful PhD student and independent scholar

  5. To identify potential areas of weakness that the student may need to strengthen before graduation

Logistics of the Oral Exam:

The exam consists of two parts: A public presentation and a closed-door session.

1.      Public Presentation: The student will give a 20-minute talk (open to faculty and students), followed by a 10-minute question-and-answer session. The talk should focus on a particular research project the student intends to include as part of their doctoral thesis. Typically, the thesis consists of three research papers. The talk should focus on one of these. The research does not have to be completed but may be planned or in progress.

2.      Closed-Door Session: The closed-session oral exam will last up to 1.5 hours, during which time the student will answer additional questions posed by the committee members. The session is closed-book with no notes allowed. Students can prepare a handful of extra slides (maximum of 10) for complex figures or diagrams to aid in conversation during the examination. Questions should probe the students’ breadth and depth of knowledge in the examination area and their ability to apply it to specific problems. The research advisor should refrain from responding to questions for candidate from other committee members so as not to act as an advocate or interpreter. 

Evaluation:

Committee members will evaluate students on the following elements:

1.      Depth of knowledge in their examination area (e.g., neuroepidemiology, biostatistics)

2.      Breadth of knowledge in their examination area

3.      Ability to apply their knowledge to specific problems

4.      Analytic abilities (the ability to reason logically and “think on their feet” when given challenging questions)

5.      Communication skills (as evidenced by their written proposal, public talk, and spoken answers to questions)

Oral Exam

Oral Examinations and Dissertation Draft

Students begin working on their dissertation after passing the oral qualifying exam in Year 3. Upon completion students submit their thesis to the Registrar and graduate. PhD students in Epidemiology and Population Health tend to complete the program in 4 to 4.5 years (median 4.3 years).

The defense consists of two parts:

1.      Public Seminar: The student will give a 30-minute talk open to faculty and students, followed by a 15-minute question and answer session.

2.      Closed-Door Session: The closed session will be at least 90 minutes, during which the student will answer additional questions posed by the committee members.

See EPH Education Handbook opens in a new tab for additional details.

Dissertation

Dissertation Overview

Dissertations can be any combination of substantive, methodologic, or theoretical topics as long as they fall under the student’s area of specialty or are linked by a common methodologic approach. There must be some substantive methodologic innovation in at least one part of the dissertation. Two formats are accepted: The candidate can prepare three papers for publication linked by an articulated theoretical perspective and substantive areas. Alternatively, the candidate can prepare a traditional dissertation (including sections on problem formulation, theory, hypotheses, methods, data analysis, findings, and study implications).

Substantive methodologic innovation is defined as: (1) developing a novel methodologic approach, (2) evaluating a novel methodology (e.g., through simulation studies), (3) using an existing methodology in a novel way, or (4) exploiting or linking large datasets in novel ways to answer epidemiologic or clinical questions.

The dissertation should contain the following elements, at a minimum, and must also meet University formatting requirements:

1.       1-page lay summary. Students will clearly articulate what they accomplished and why it is important.

2.       2-page introduction. Students will highlight their research's overall background, significance, and aims, as well as the connecting themes of their three projects.

3.       Body of the thesis. Students will include three papers for publication, each of which will consist of an expanded methodology section. The expanded methodology section will contain more written detail than would typically be included in a published manuscript and additional tables and figures. Students opting for a traditional dissertation will consist of sections on problem formulation, theory, hypotheses, methods, data analysis, findings, and study implications.

4.       Conclusion. Students will succinctly synthesize the meaning and impact of their findings while tying together disparate themes from the papers/chapters and presenting a vision for future research needs in the area—minimum of three pages.

Detailed guidelines for the preparation and submission of dissertations are published on the Registrar’s Office of Student Affairs: Dissertation and Thesis Submission. opens in a new tab