This skills domain “encompasses knowledge of scientific concepts related to the design and analysis of clinical trials.” Learn more about this skills domain here.

Expert Feedback on NIH Rigor and Transparency Guidelines

Do you have questions about a policy on scientific rigor and transparency?

Instructors: Amy Gantt, John Castellot Course Type: Self-Paced Online
Using Machine Learning to Increase Equality in Healthcare and Public Health

Center for Quantitative Methods & Data Sciences Seminar Series

Date: December 15th, 2021

Instructor: Emma Pierson Course Type: Live Online
NIH Funding Opportunities for Methodological Research in Mental Health

Methodological research at the National Institute of Mental Health (NIMH)

Date: December 1st, 2021

Instructor: Christine M. Ulbricht, PhD, MPH Course Type: Live Online
Archived Event: Training in Biomedical Data Science Series

View the archived recordings from this series from Summer 2021.

Instructors: Multiple Course Type: Archive Event
Medical Inference: A Primer on Critically Evaluating Medical Evidence

Need help in deciding whether a study finding is clinically important?

Instructor: H. Gilbert Welch, MD, MPH Course Type: Self-Paced Online
To Resubmit or Not - When Your Proposal Isn’t Funded

Did you miss the payline for funding your NIH Proposal? Need help interpreting reviews and deciding when is best to revise and resubmit?

Instructors: Caroline Genco, Cheryl London, Marta Gaglia Course Type: Self-Paced Online
Best Practices for Chart Review Studies

Are you planning on conducting a retrospective chart review to answer a research question? Learn about the resources Tufts CTSI can provide to support your research.

Instructor: Multiple Course Type: Self-Paced Online
Planning and Evaluation of Stakeholder Engagement in Research

How should you plan and evaluate stakeholder engagement in research?

Instructor:Thomas Concannon Course Type: Self-Paced Online
To everything there is a season: synchronization of infectious outbreaks

How can data help us to better understand and respond to the synchronization of infectious outbreaks?

Course Type: Archived Event
Steps Toward Reproducible Research

Interested in learning how to make your data analysis and other scientific computations reproducible?

Speaker: Karl Broman Course Type: Archived Event