The interactive workshop curriculum will focus on hands-on skill development through active learning. To that end, the intensive schedule is designed to accelerate the growth of high-yield clinical research skills via individual and team-based workshop exercises. Students will be immersed in a dynamic learning environment that encourages collaboration and collegial networking with faculty and peers.
Essential elements of the workshop include instruction and practical exercises in the core concepts of biostatistics, epidemiology and research question development, as well as critical assessment of the medical literature and practical training in statistical software using real-life datasets. In addition to providing training in mentorship, academic career development and leadership, we create a supportive and active learning environment where opportunities for knowledge retention and networking abound.
Live Online Sessions
Symposia, tutorials and seminars are mandatory and will be delivered live online and organized according to eight specific clinical research topics.
Eight 3-hour symposia
- Instruction on a specific clinical research topic (e.g., cohort study design and interpretation)
- In-depth discussion on a related epidemiology concept (e.g., odds ratio)
- Hands-on guidance for implementing the related analysis with statistical programming in Stata
Eight 1-hour tutorials
- Interpret and report on papers related to the specific clinical research topic
Eight 1-hour special-topic seminars
- Tie biostatistical and epidemiological concepts to specific clinical research topics with concrete examples
All students will be expected to complete all assignments by the due dates. Assignments will be graded as either “pass” or “fail.”
Individual Assignment 1
Individual Research Question and Study Design
- Generate a novel research question in the evidence-based PICO format
- Receive expert faculty review
Individual Assignment 2
Design, Implement and Present an Original Abstract
- Design and implement a clinical research study based on a publicly available dataset
- Analyze and create data visualizations via a user-friendly R Shiny web app
- Write a formal 350-word abstract suitable for submission to an international conference
- Present a digital poster to faculty at Workshop 3
Research Study Introduction
Designing a Clinical Research Study I–III
Introduction to Evidence-Based Medicine, Systematic Review and Meta-Analysis
Study Design 1 – Observational
Study Design 2 – Randomized Controlled Trials
Study Design 3 – Quasi-Experimental Studies
Introduction to Biostatistics
An Investigator’s Responsibility for Protection of Research Subjects
How to Search PubMed
Overview of Evidence-Based Medicine
Statistical Programming in Stata
Basic Programming Commands
Data Analytics I – Central Tendency
Data Analytics II – Statistical Testing
Data Analytics III – Regression Testing
All students must complete the following academic and attendance requirements in order to be granted a Certificate of Completion from Harvard Medical School.
Workshop Attendance Requirements
Attendance at the program’s workshops is a requirement. If a student cannot attend a workshop, a petition must be submitted to the Course Education Committee for review and approval.
Assignments, Exams and Quizzes
Students are required to complete and pass all individual assignments, exams and quizzes.
Symposium, Tutorial and Seminar Attendance
The program requires students to attend scheduled live online symposia, tutorials and seminars. If a student cannot attend a live online symposium, tutorial or seminar due to occasional scheduling conflicts, it is possible to review the recording of the webinar. Students are expected to attend 75 percent or more of scheduled live online sessions.
Foundations of Clinical Research
Early Application Deadline: September 6, 2023
Final Application Deadline: September 20, 2023
Program Start Date: October 21, 2023