screen_data

data.clinical

data.screen

This toy dataset is provided to facilitate examples and provide an
 example of the required input format. Though the data were simulated
 under a scenario similar to a real-world breast cancer screening trial,
 they should not be interpreted as representing true trial data.

datasets

A novel data-augmentation Markov chain Monte Carlo sampling algorithm to fit a progressive compartmental model of disease in a Bayesian framework
Morsomme, R.N., Holloway, S.T., Ryser, M.D. and Xu J. (2024) <doi:10.48550/arXiv.2408.14625>.

Shannon Holloway

baclava

Bayesian Analysis of Cancer Latency with Auxiliary Variable
Augmentation

Raphael N. Morsomme

Shannon T. Holloway

Jason Xu

Marc D. Ryser

screen_data function

Two datasets are provided.
<code>data.screen</code> is a data.frame containing
 the following screening information for 89 participants (287 assessments)<ul>
<li>id: A character. Participant ids.</li>
<li>age_assess: A numeric. The participant age as time of assessment.</li>
<li>disease_detected: An integer. 1 = disease detected at assessment; 
 0 otherwise</li>
</ul>
 
<code>data.clinical</code> is a data.frame containing the following information for 89 
 participants.<ul>
<li>id: A character. Participant ids.</li>
<li>age_entry: A numeric. The participant age as time of study entry.</li>
<li>endpoint_type: A character. One of {"clinical", "preclinical", "censored"},
 indicating if participant was diagnosed with the disease in the clinical
 compartment, was diagnosed in the pre-clinical compartment, or was
 censored.</li>
<li>age_endpoint: A numeric. The participant's age at time the endpoint
 was ascertained.</li>
</ul>

Format

Toy Dataset — screen_data

Toy Dataset

screen_data: Toy Dataset

Description

Usage

Arguments

Format