htcfitter: Fits HTC Cox model using coxph() function

Description Usage Arguments Value Author(s) References Examples

Description

Adds ITC covariates to dataset

Calls coxph() function to fit HTC model

Usage

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htcfitter(dataset, ncov, cov_names, nitc_start, itc_start_endpoint, nitc_stop,
 itc_stop_endpoint, tstartp, tstopp)

Arguments

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

Value

treatcoef_tc2

fitted coefficient of treatment term

treatse_tc2

fitted SE of treatment term

fit_htc

fit of HTC model

cov_names2

vector containing the covariate names of the HTC model

Author(s)

James F. Troendle

References

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.

Examples

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##---- 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)
{
  }

trooper197/tccox documentation built on May 8, 2019, 6:56 p.m.