4.7 GEE Models
Correlated observations can be handled using GEE
data("ctDNA")
rm_uvsum(response = 'size_change',
covs=c('time','ctdna_status'),
gee=TRUE,
id='id', corstr="exchangeable",
family=gaussian("identity"),
data=ctDNA,showN=TRUE)| Estimate(95%CI) | p-value | N | |
|---|---|---|---|
| time | -0.12 (-0.44, 0.19) | 0.44 | 262 |
| ctdna status | 262 | ||
| Clearance | Reference | 134 | |
| No clearance, decrease from baseline | 61.29 (37.38, 85.20) | <0.001 | 42 |
| No clearance, increase from baseline | 82.52 (64.67, 100.37) | <0.001 | 86 |