Abstract
Dawson and Lagakos (1993, Biometrics 49, 1022-1032) proposed a stratified test for repeated measures data that contain missing observations. They recommended stratification based on missing data patterns and considered sufficient conditions under which the size of the test is properly retained. In this paper, we point out some practical problems with these conditions and illustrate them with their CD4 count example as well as a simulation study. We give a less stringent condition and delineate its merit. We also discuss what to do when none of the conditions are met.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 782-787 |
| Number of pages | 6 |
| Journal | Biometrics |
| Volume | 54 |
| Issue number | 2 |
| DOIs | |
| State | Published - 1998 |
| Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- General Biochemistry, Genetics and Molecular Biology
- General Immunology and Microbiology
- General Agricultural and Biological Sciences
- Applied Mathematics
Keywords
- Missing data pattern
- Postrandomization stratification
- Sufficient condition
- Test size