simulated_data

The observed status, observation time and subject identifier for 100 simulated subjects. This is the same dataset as used in Figure 2 of Titman (2017).

datasets

Estimation of the survivor function for interval censored time-to-event data subject to misclassification using nonparametric maximum likelihood estimation, implementing the methods of Titman (2017) <doi:10.1007/s11222-016-9705-7>. Misclassification probabilities can either be specified as fixed or estimated. Models with time dependent misclassification may also be fitted.

Andrew Titman

miscIC

Misclassified Interval Censored Time-to-Event Data

simulated_data function

A data frame with 908 observations on the following 3 variables.<dl class="dl-horizontal">
 <dt><code>state</code></dt><dd>Binary observed status at the observation time</dd>
 <dt><code>time</code></dt><dd>Time of the observation</dd>
 <dt><code>subject</code></dt><dd>Subject identifier corresponding to the observation</dd>
 </dl>

Format

Simulated example dataset of misclassified interval censored time-to-event data — simulated_data

A data frame with 908 observations on the following 3 variables.<dl class='dl-horizontal'>
 <dt><code>state</code></dt><dd>Binary observed status at the observation time</dd>
 <dt><code>time</code></dt><dd>Time of the observation</dd>
 <dt><code>subject</code></dt><dd>Subject identifier corresponding to the observation</dd>
 </dl>

simulated_data: Simulated example dataset of misclassified interval censored time-to-event data

Description

Usage

Arguments

Format

References