Understanding Confounding, Selection and Information Bias in the Health Sciences Literature

When we learn the fundamental principles of research methods, it all seems (relatively) simple, you develop a research question, measure your exposure, and calculate some relationship with the outcome of interest. However, as we all eventually learn, conducting research is so much more complicated: exposures are often measured with error, covariates are not measured or measured imperfectly, and selection forces or pragmatic concerns often influence who makes it into the study sample at all. When faced with these imperfect, but real-life, scenarios, we have to consider how confounding, selection and information bias are affecting study results. In this workshop Dr. Banack will focus on explaining common sources of bias in the medical and health sciences literature and discuss strategies to remediate bias.

ACCREDITATION: The University at Buffalo Jacobs School of Medicine and Biomedical Sciences is accredited by the ACCME to provide continuing medical education for physicians.

CERTIFICATION: The University at Buffalo Jacobs School of Medicine and Biomedical Sciences designates this live activity for a maximum of 2.0 AMA PRA Category 1 Credit(s)TM.  Physicians should claim only the credit commensurate with the extent of their participation in the activity.

CREDIT: This program is supported by the National Center for Advancing Translational Sciences of the National Institutes of Health under award number UL1TR001412 to the University at Buffalo.