Description Usage Arguments Value Author(s) References Examples
Adds ITC covariates to dataset
Calls coxph() function to fit HTC model
1 2 | htcfitter(dataset, ncov, cov_names, nitc_start, itc_start_endpoint, nitc_stop,
itc_stop_endpoint, tstartp, tstopp)
|
dataset |
data.frame organized as expected by tc() |
ncov |
number of baseline covariates (including treatment) to be included in model |
cov_names |
vector of baseline covariate names (including treatment) |
nitc_start |
number of ITC starting intervals |
itc_start_endpoint |
vector containing the endpoints of the ITC starting intervals |
nitc_stop |
number of ITC stopping intervals |
itc_stop_endpoint |
vector containing the endpoints of the ITC starting intervals |
tstartp |
matrix whose columns are the ITC starting covariate values |
tstopp |
matrix whose columns are the ITC stopping covariate values |
treatcoef_tc2 |
fitted coefficient of treatment term |
treatse_tc2 |
fitted SE of treatment term |
fit_htc |
fit of HTC model |
cov_names2 |
vector containing the covariate names of the HTC model |
James F. Troendle
Troendle, JF, Leifer, E, Zhang Z, Yang, S, and Tewes H (2017) How to Control for Unmeasured Confounding in an Observational Time-To-Event Study With Exposure Incidence Information: the Treatment Choice Cox Model. Statistics in Medicine 36: 3654-3669.
1 2 3 4 5 6 7 8 | ##---- Should be DIRECTLY executable !! ----
##-- ==> Define data, use random,
##-- or do help(data=index) for the standard data sets.
## The function is currently defined as
function (x)
{
}
|
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