treatinit: Gets dataset into standard form
In trooper197/tccox: Treatment Choice Cox Model

Description Usage Arguments Value Author(s) References Examples

Creates sequential IDs

Calculates starting and stopping times

1	treatinit(dataset,nmaxint)

`dataset`	data.frame organized as expected by tc()
`nmaxint`	maximum number of TC intervals allowed

`dataset`	data.frame with dataset broken up according to TC intervals
`obsnum`	number of intervals of time in dataset
`nperson`	number of subjects in dataset
`maxobs`	maximum number of observations (intervals of time) allowed for dataset
`numevents`	number of events in datsaet
`start_times`	vector of ordered times when starting of treatment occurs in dataset
`stop_times`	vector of ordered times when stopping of treatment occurs in dataset
`followup`	vector of same length as dataset containing followup times
`tti`	vector of same length as dataset containing times when starting occurs or 0 if subject does not start
`tti`	vector of same length as dataset containing times when stopping occurs or 0 if subject does not stop
`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)
{
  }