itcfitter: Fits ITC Cox model using coxph() function
In trooper197/tccox: Treatment Choice Cox Model

Description Usage Arguments Value Author(s) References Examples

Adds ITC covariates to dataset

Calls coxph() function to fit ITC model

1 2	itcfitter(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_tc3`	fitted coefficient of treatment term
`treatse_tc3`	fitted SE of treatment term
`fit_itc`	fit of ITC model
`cov_names3`	vector containing the covariate names of the ITC 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.

##---- 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)
{
  }