TTC_ic_Jakobsen_wei

calculates the confidence interval of the time TTC using the
Jakobsen's approach.
Note that this function is for mixture cure model with Weibull distribution
considered for uncured patients.

internal

Fits a variety of cure models using excess hazard modeling methodology such as the mixture model proposed by Phillips et al. (2002) <doi:10.1002/sim.1101> The Weibull distribution is used to represent the survival function of the uncured patients; Fits also non-mixture cure model such as the time-to-null excess hazard model proposed by Boussari et al. (2020) <doi:10.1111/biom.13361>.

Juste Goungounga

curesurv

Mixture and Non Mixture Parametric Cure Models to Estimate Cure
Indicators

Judith Breaud

Olayide Boussari

Laura Botta 

Valerie Jooste

TTC_ic_Jakobsen_wei function

<dl><dt>object</dt>
<dd>ouput from a model implemented in curesurv</dd>
<dt>z_pcured</dt>
<dd>covariates matrix acting on cure proportion</dd>
<dt>z_ucured</dt>
<dd>covariates matrix acting on survival function of uncured</dd>
<dt>epsilon</dt>
<dd>value fixed by user to estimate the TTC \(\text{Pi}(t)\geq (1-\epsilon)\).
By default \(\epsilon = 0.05\).</dd>
<dt>level</dt>
<dd><code>1-alpha/2</code>-order quantile of a normal distribution</dd></dl>

Arguments

TTC_ic_Jakobsen_wei function — TTC_ic_Jakobsen_wei

<dl>

<dt>object</dt>
<dd>ouput from a model implemented in curesurv</dd>


<dt>z_pcured</dt>
<dd>covariates matrix acting on cure proportion</dd>


<dt>z_ucured</dt>
<dd>covariates matrix acting on survival function of uncured</dd>


<dt>epsilon</dt>
<dd>value fixed by user to estimate the TTC \(\text{Pi}(t)\geq (1-\epsilon)\).
By default \(\epsilon = 0.05\).</dd>


<dt>level</dt>
<dd><code>1-alpha/2</code>-order quantile of a normal distribution</dd>

</dl>

TTC_ic_Jakobsen_wei: TTC_ic_Jakobsen_wei function

Description

Usage

Arguments