ICsur

Survival probability conditional on the observed data estimation for interval censored data

internal

Contains functions to estimate a smoothed and a non-smoothed (empirical) time-dependent
receiver operating characteristic curve and the corresponding area under the receiver
operating characteristic curve and the optimal cutoff point for the right and interval
censored survival data. See Beyene and El Ghouch (2020)<doi:10.1002/sim.8671> and Beyene
and El Ghouch (2022) <doi:10.1002/bimj.202000382>.

Kassu Mehari Beyene

cenROC

Estimating Time-Dependent ROC Curve and AUC for Censored Data

Anouar El Ghouch

ICsur function

<dl><dt>L</dt>
<dd>The numericvector of left limit of observed time. For left censored observations <code>L == 0</code>.</dd>
<dt>R</dt>
<dd>The numericvector of right limit of observed time. For right censored observation <code>R == inf</code>.</dd>
<dt>M</dt>
<dd>The numeric vector of marker value.</dd>
<dt>t</dt>
<dd>A scaler time point used to calculate the the ROC curve</dd>
<dt>method</dt>
<dd>A character indication type of modeling. This include nonparametric <code>"np"</code>,parmetric <code>"pa"</code> and semiparametric <code>"sp"</code>.</dd>
<dt>dist</dt>
<dd>A character incating the type of distribution for parametric model. This includes are <code>"exponential"</code>, <code>"weibull"</code>, <code>"gamma"</code>, <code>"lnorm"</code>, <code>"loglogistic"</code> and <code>"generalgamma"</code>.</dd></dl>

Arguments

Survival probability conditional on the observed data estimation for interval censored data — ICsur

<dl>

<dt>L</dt>
<dd>The numericvector of left limit of observed time. For left censored observations <code>L == 0</code>.</dd>


<dt>R</dt>
<dd>The numericvector of right limit of observed time. For right censored observation <code>R == inf</code>.</dd>


<dt>M</dt>
<dd>The numeric vector of marker value.</dd>


<dt>t</dt>
<dd>A scaler time point used to calculate the the ROC curve</dd>


<dt>method</dt>
<dd>A character indication type of modeling. This include nonparametric <code>"np"</code>,parmetric <code>"pa"</code> and semiparametric <code>"sp"</code>.</dd>


<dt>dist</dt>
<dd>A character incating the type of distribution for parametric model. This includes are <code>"exponential"</code>, <code>"weibull"</code>, <code>"gamma"</code>, <code>"lnorm"</code>, <code>"loglogistic"</code> and <code>"generalgamma"</code>.</dd>

</dl>

ICsur: Survival probability conditional on the observed data estimation for interval censored data

Description

Usage

Value

Arguments

References