fit_aipw

A list of outputs containing the last time prior to the event, the first time after the event, cause of failure with \(50\%\) of missingness, and covariates.

output

Semiparametric regression models on the cumulative incidence function for interval-censored competing risks data as described in Bakoyannis, Yu, & Yiannoutsos (2017) /doi{10.1002/sim.7350} and the models with missing event types as described in Park, Bakoyannis, Zhang, & Yiannoutsos (2021) \doi{10.1093/biostatistics/kxaa052}. The proportional subdistribution hazards model (Fine-Gray model), the proportional odds model, and other models that belong to the class of semiparametric generalized odds rate transformation models.

Jun Park

intccr

Semiparametric Competing Risks Regression under Interval
Censoring

fit_aipw function

A list of 14:<dl class="dl-horizontal">
 <dt>call</dt><dd>a matched call</dd>
 <dt>varnames</dt><dd>a vector containing variable names</dd>
 <dt>varnames.aux</dt><dd>a vector containing auxiliary variable names</dd>
 <dt>coefficients</dt><dd>a vector of the regression coefficient estimates</dd>
 <dt>gamma</dt><dd>a vector of the estimated coefficients for the B-splines</dd>
 <dt>vcov</dt><dd>a variance-covariance matrix of the estimated regression coefficients</dd>
 <dt>alpha</dt><dd>a vector of the link function parameters</dd>
 <dt>k</dt><dd>a parameter that controls the number of knots in the B-spline</dd>
 <dt>loglikelihood</dt><dd>a loglikelihood of the fitted model</dd>
 <dt>convergence</dt><dd>an indicator of convegence</dd>
 <dt>tms</dt><dd>a vector of the minimum and maximum observation times</dd>
 <dt>Bv</dt><dd>a list containing the B-splines basis functions evaluated at <code>v</code></dd>
 <dt>notconverged</dt><dd>a list of number of bootstrap samples not converged</dd>
</dl>

Format

Output of <code>ciregic_aipw</code> — fit_aipw

A list of 14:<dl class='dl-horizontal'>
 <dt>call</dt><dd>a matched call</dd>
 <dt>varnames</dt><dd>a vector containing variable names</dd>
 <dt>varnames.aux</dt><dd>a vector containing auxiliary variable names</dd>
 <dt>coefficients</dt><dd>a vector of the regression coefficient estimates</dd>
 <dt>gamma</dt><dd>a vector of the estimated coefficients for the B-splines</dd>
 <dt>vcov</dt><dd>a variance-covariance matrix of the estimated regression coefficients</dd>
 <dt>alpha</dt><dd>a vector of the link function parameters</dd>
 <dt>k</dt><dd>a parameter that controls the number of knots in the B-spline</dd>
 <dt>loglikelihood</dt><dd>a loglikelihood of the fitted model</dd>
 <dt>convergence</dt><dd>an indicator of convegence</dd>
 <dt>tms</dt><dd>a vector of the minimum and maximum observation times</dd>
 <dt>Bv</dt><dd>a list containing the B-splines basis functions evaluated at <code>v</code></dd>
 <dt>notconverged</dt><dd>a list of number of bootstrap samples not converged</dd>
</dl>

fit_aipw: Output of `ciregic_aipw`

Description

Usage

Arguments

Format

Examples