survfit_npdf

Kaplan-Meier estimates of group-specific cumulative hazard from a nonparametric discrete frailty model

Functions for fitting Cox proportional hazards models for grouped time-to-event data, where the shared group-specific frailties have a discrete nonparametric distribution. The methods proposed in the package is described by Gasperoni, F., Ieva, F., Paganoni, A. M., Jackson, C. H., Sharples, L. (2018) <doi:10.1093/biostatistics/kxy071>. There are also functions for simulating from these models, with a nonparametric or a parametric baseline hazard function.

Francesca Gasperoni

discfrail

Cox Models for Time-to-Event Data with Nonparametric Discrete
Group-Specific Frailties

Christopher Jackson

survfit_npdf function

<dl><dt>x</dt>
<dd>A fitted nonparametric discrete frailty model, as returned by <code>npdf_cox</code> with <code>estK=FALSE</code>.</dd>
<dt>survfit_opts</dt>
<dd>Optional list of additional arguments to pass to <code><a href="/link/survfit.formula?package=discfrail&version=0.2" data-mini-rdoc="discfrail::survfit.formula">survfit.formula</a></code>.</dd></dl>

Arguments

Kaplan-Meier estimates of group-specific cumulative hazard from a nonparametric discrete frailty model — survfit_npdf

<dl>

<dt>x</dt>
<dd>A fitted nonparametric discrete frailty model, as returned by <code>npdf_cox</code> with <code>estK=FALSE</code>.</dd>


<dt>survfit_opts</dt>
<dd>Optional list of additional arguments to pass to <code><a href='https://rdrr.io/pkg/survival/man/survfit.formula.html'>survfit.formula</a></code>.</dd>

</dl>

survfit_npdf: Kaplan-Meier estimates of group-specific cumulative hazard from a nonparametric discrete frailty model

Description

Usage

Value

Arguments

See Also