Calculate the variance estimates using the sandwich formula based on the ES algorithm.
1 2 |
Time |
right censored data which is the follow up time. |
Status |
the censoring indicator, normally 0 = event of interest happens, and 0 = censoring. |
X |
a matrix of covariates corresponding to the latency part. |
Z |
a matrix of covariates corresponding to the incidence part. |
id |
a vector which identifies the clusters. The length of |
gamma |
the estimates for the incidence part. |
beta |
the estimates for the latency part. |
kappa |
the estimate of the shape parameter in the Weibull baseline hazard function when |
gphi |
the estimate of the scale parameter φ_1 in the GEE for the incidence part. |
gcor |
the estimate of the correlation parameter ρ_1 in the GEE for the incidence part. |
bphi |
the estimate of the scale parameter φ_2 in the GEE for the latency part. |
bcor |
the estimate of the correlation parameter ρ_2 in the GEE for the latency part. |
Lambda |
the estimate of the cumulative baseline hazard function in the GEE for the latency part. |
w |
conditional probability of a patient remains uncured. |
model |
specifies your model, it can be |
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