Description Usage Arguments Value Author(s) References Examples
Either speciifies the ITC interval endpoints as fixed or else determines candidates based on expected event criteria
1 2 | itcadd(dataset, nmaxint, interval_width, min_exp_events, nitc_fixed, n_start_fixed,
n_stop_fixed, interval_stop_beginning)
|
dataset |
data.frame organized as expected by tc() |
nmaxint |
maximum number of TC intervals allowed |
interval_width |
width of the TC intervals |
min_exp_events |
minimum number of events expected of subjects in each cell for determining ITC intervals |
nitc_fixed |
indicator that potential ITC intervals are fixed |
n_start_fixed |
number of fixed ITC starting intervals (only applicable if nitc_fixed=1) |
n_stop_fixed |
number of fixed ITC stopping intervals (only applicable if nitc_fixed=1) |
interval_stop_beginning |
smallest ITC stopping interval endpoint (only applicable if nitc_fixed=1) |
nitc_start |
number of ITC starting intervals |
itc_start_endpoint |
vector containing the ITC starting interval endpoints |
nitc_stop |
number of ITC stopping intervals |
itc_stop_endpoint |
vector containing the ITC stopping interval endpoints |
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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