RECR: Fundamentals of Missing Data

Instructor: Steven J. Pierce

RECR Eligible

This talk will discuss some fundamental concepts and issues related to missing data in research studies. It will cover what missing data are, why we end up with them, and why they matter (i.e., their scientific consequences). The seminar will describe different types of missing data and introduce a structured framework for addressing missing data issues, plus strategies for diagnosing the amount, nature, and patterns of missing data. Finally, we will discuss some ways to prevent missing data and options for obtaining valid, unbiased statistical results even you have missing data. Links to additional learning resources will be shared.

To receive RECR credit, attendance will be verified and a survey must be completed afterwards with well thought out responses.

Visit the CSTAT Event Page to register.