3.6 GEE Models
Correlated observations can be handled using GEE
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 | Global p-value | N | |
---|---|---|---|---|
time | -0.12 (-0.44, 0.19) | 0.44 | 262 | |
ctdna status | <0.001 | 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 |