What are the appropriate analytical techniques for study designs and what measures of association, advantages and disadvantages should be used?

This seminar will provide an introduction to epidemiologic study design, including cross-sectional, cohort, and case-control studies. It will review the appropriate analytical techniques for each design along with their measures of association, advantages and disadvantages, and the types of biases that can be present with each. Examples from the literature will be provided to illustrate concepts and common pitfalls that may occur when analyzing data from observational studies.

This course is part of a series of trainings in biomedical data science offered by the Center for Quantitative Methods and Data Science, Tufts CTSI, and Tufts University Data Intensive Studies Center. For the full list of trainings in this series, please visit the Center for Quantitative Methods and Data Science webpage.

Basic statistical knowledge is required. Computational experience will be helpful, but is not required.

Faculty

This workshop will be taught by Janis Breeze, MPH and Angie Rodday, PhD, MS

Janis Breeze is an Epidemiologist, Assistant Professor of Medicine, and Associate Director of the Biostatistics, Epidemiology, and Research Design (BERD) Center at Tufts CTSI. She has many years’ experience helping researchers in the design of observational and experimental studies, particularly in the areas of newborn medicine, obstetrics and gynecology, pulmonary medicine, and surgery.

Angie Rodday is a Biostatistician, Assistant Professor of Medicine, and Associate Director of the Clinical and Translational Science (CTS) Graduate Program at the Tufts University Graduate School of Biomedical Sciences. She has experience as a principal investigator of her own work, as well as experience as a Co-Investigator on others’ projects. Dr. Rodday teaches biostatistics courses as part of the CTS Graduate Program.

Who should attend

Basic statistical knowledge is required. Computational experience will be helpful, but is not required.

Details

Wednesday, June 23
2:00-3:30PM
Online (a link will be sent to those who register).

Registration

To attend, please register here.

You may also register for the other trainings in this series: