Table 1 Sample sizes of the real data sets.
From: Likelihood contrasts: a machine learning algorithm for binary classification of longitudinal data
Total number of samples (N) | Number of individuals (n) | Number of cases | Number of controls | Number of time points per individual ± SD | |
|---|---|---|---|---|---|
Pbc2 | 1,945 | 312 | 140 | 172 | 6.2 ± 3.8 |
Prothro | 2,968 | 488 | 292 | 196 | 6.1 ± 3.5 |
DIPP, seroconverted | 68 | 17 | 4 | 13 | 4.0 ± 0.0 |
DIPP, progressor | 238 | 40 | 18 | 22 | 6.0 ± 1.9 |
