pt_cure_ic_wei

Calculates the confidence intervals of the probability Pi(t)
of being cured at a given time t after diagnosis knowing that he/she was
alive up to time t. by Delta Method on P(t)

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

pt_cure_ic_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>x</dt>
<dd>time at which the estimates are predicted</dd>
<dt>level</dt>
<dd>(1-alpha/2)-order quantile of a normal distribution</dd>
<dt>cumLexctopred</dt>
<dd>a pre-prediction parameter obtained with cumLexc_alphaweibull</dd>
<dt>Dpt_cure</dt>
<dd>partial derivatives of pt_cure by theta, obtained with dpdtheta_wei function</dd></dl>

Arguments

Juste Goungounga, Judith Breaud, Olayide Boussari, Laura Botta, Valerie Jooste
Boussari O, Romain G, Remontet L, Bossard N, Mounier M, Bouvier AM,
Binquet C, Colonna M, Jooste V. A new approach to estimate time-to-cure from
cancer registries data. Cancer Epidemiol. 2018 Apr;53:72-80.
doi: 10.1016/j.canep.2018.01.013. Epub 2018 Feb 4. PMID: 29414635.
(<a href="https://pubmed.ncbi.nlm.nih.gov/29414635/">pubmed</a>)

Author

pt_cure_ic_wei function — pt_cure_ic_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>x</dt>
<dd>time at which the estimates are predicted</dd>


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


<dt>cumLexctopred</dt>
<dd>a pre-prediction parameter obtained with cumLexc_alphaweibull</dd>


<dt>Dpt_cure</dt>
<dd>partial derivatives of pt_cure by theta, obtained with dpdtheta_wei function</dd>

</dl>

Juste Goungounga, Judith Breaud, Olayide Boussari, Laura Botta, Valerie Jooste
Boussari O, Romain G, Remontet L, Bossard N, Mounier M, Bouvier AM,
Binquet C, Colonna M, Jooste V. A new approach to estimate time-to-cure from
cancer registries data. Cancer Epidemiol. 2018 Apr;53:72-80.
doi: 10.1016/j.canep.2018.01.013. Epub 2018 Feb 4. PMID: 29414635.
(<a href='https://pubmed.ncbi.nlm.nih.gov/29414635/'>pubmed</a>)

pt_cure_ic_wei: pt_cure_ic_wei function

Description

Usage

Arguments

Author