itc: Prepares and fits an ITC Cox model
In trooper197/tccox: Treatment Choice Cox Model

Description Usage Arguments Value Author(s) References Examples

Calls treatinit() to prepare dataset

Calls itcadd() to create ITC intervals

Calls addtc() to create TC intervals

Calls itcfitter() to fit ITC model

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itc(dataset, ncov, cov_names, maxfollow, nmaxint, interval_width, min_exp_events,
 min_future_events, nitc_fixed, n_start_fixed, n_stop_fixed,
 interval_stop_beginning)

`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)
`maxfollow`	maximum followup for any subject in dataset
`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
`min_future_events`	minimum number of events expected of future starters(stoppers) of treatment for determining upper bound on starting(stopping) TC intervals
`nitc_fixed`	indicator (0 or 1) 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)

`fit_itc`	fit of ITC model
`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
`nstartint`	number of TC starting intervals
`startint`	vector containing the TC starting interval endpoints
`nstopint`	number of TC stopping intervals
`stopint`	vector containing the TC stopping interval endpoints
`cov_names3`	vector containing the covariate names of the model
`nperson`	number of subjects in dataset
`numevents`	number of events in dataset
`medianfollowup`	median followup for subjects in dataset

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.

##---- 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)
{
  }