Description Usage Arguments Value Author(s) References Examples
Calls coxph() function to fit PTC model
1 | ptcfitter(dataset, ncov, cov_names)
|
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) |
treatcoef_tc1 |
fitted coefficient of treatment term |
treatse_tc1 |
fitted SE of treatment term |
fit_ptc |
fit of PTC model |
cov_names1 |
vector containing the covariate names of the PTC 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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