.check_surv

internal

A collection of parametric and nonparametric methods for the analysis of survival data. Parametric families implemented include Gompertz-Makeham, exponential and generalized Pareto models and extended models. The package includes an implementation of the nonparametric maximum likelihood estimator for arbitrary truncation and censoring pattern based on Turnbull (1976) <doi:10.1111/j.2517-6161.1976.tb01597.x>, along with graphical goodness-of-fit diagnostics. Parametric models for positive random variables and peaks over threshold models based on extreme value theory are described in Rootzén and Zholud (2017) <doi:10.1007/s10687-017-0305-5>; Belzile et al. (2021) <doi:10.1098/rsos.202097> and Belzile et al. (2022) <doi:10.1146/annurev-statistics-040120-025426>.

Leo Belzile

longevity

Statistical Methods for the Analysis of Excess Lifetimes

.check_surv function

<dl><dt>time</dt>
<dd>excess time of the event of follow-up time, depending on the value of event</dd>
<dt>time2</dt>
<dd>ending excess time of the interval for interval censored data only.</dd>
<dt>event</dt>
<dd>status indicator, normally 0=alive, 1=dead. Other choices are <code>TRUE</code>/<code>FALSE</code> (<code>TRUE</code> for death).
For interval censored data, the status indicator is 0=right censored, 1=event at time, 2=left censored, 3=interval censored.
Although unusual, the event indicator can be omitted, in which case all subjects are assumed to have experienced an event.</dd>
<dt>type</dt>
<dd>character string specifying the type of censoring. Possible values are "<code>right</code>", "<code>left</code>", "<code>interval</code>", "<code>interval2</code>".</dd></dl>

Arguments

Check survival output — .check_surv

<dl>

<dt>time</dt>
<dd>excess time of the event of follow-up time, depending on the value of event</dd>


<dt>time2</dt>
<dd>ending excess time of the interval for interval censored data only.</dd>


<dt>event</dt>
<dd>status indicator, normally 0=alive, 1=dead. Other choices are <code>TRUE</code>/<code>FALSE</code> (<code>TRUE</code> for death).
For interval censored data, the status indicator is 0=right censored, 1=event at time, 2=left censored, 3=interval censored.
Although unusual, the event indicator can be omitted, in which case all subjects are assumed to have experienced an event.</dd>


<dt>type</dt>
<dd>character string specifying the type of censoring. Possible values are "<code>right</code>", "<code>left</code>", "<code>interval</code>", "<code>interval2</code>".</dd>

</dl>

.check_surv: Check survival output

Description

Usage

Value

Arguments