In this lesson, we will review the definition of missing data, power, and dropout, and we will discuss how missing data can cause problems. Some questions to consider while completing this lesson include:
- Do power and sample size sections in grant proposals account for missing data?
- How to adjust the required sample size based on the anticipation of missing data?
- Use an example trial to illustrate data missing at random.
- Demonstrate how to increase sample size to account for data missing at random.
Lecture Notes: 3.3 Accounting for Missing Data and Dropout