Cognitive: Recognize when and how missing data occur; Describe the impact of missing data on the validity and power of PCOR; Outline ways to prevent and monitor missing data during the design and conduct of PCOR.
Attitudinal: Value the importance of developing methods to prevent and monitor missing data.
Skills: Select appropriate statistical methods to deal with missing data that properly account for statistical uncertainty due to missingness; Apply sensitivity of inferences to missing data methods and assumptions about missing data mechanisms; Design data collection tools that record all reasons for missing data and account for all patients.
This category contains the curriculum Introduction and six main modules. Learn about the instructors for this curriculum.
- Introductory Lecture: Prepared and presented by Jodi Segal, MD, MPH
- Learning Modules: Prepared and presented by Dan Scharfstein, ScD, and Tianjing Li, MD, PhD
Category 4 Self-Assessment
Back to the Methodology Standards Academic Curriculum main page
Posted: February 2016