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Main Authors: Ramos, Pedro L., Guzman, Daniel C. F., Mota, Alex L., Saavedra, Daniel A., Rodrigues, Francisco A., Louzada, Francisco
Format: Preprint
Published: 2020
Subjects:
Online Access:https://arxiv.org/abs/2011.08417
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author Ramos, Pedro L.
Guzman, Daniel C. F.
Mota, Alex L.
Saavedra, Daniel A.
Rodrigues, Francisco A.
Louzada, Francisco
author_facet Ramos, Pedro L.
Guzman, Daniel C. F.
Mota, Alex L.
Saavedra, Daniel A.
Rodrigues, Francisco A.
Louzada, Francisco
contents In this review, we present a simple guide for researchers to obtain pseudo-random samples with censored data. We focus our attention on the most common types of censored data, such as type I, type II, and random censoring. We discussed the necessary steps to sample pseudo-random values from long-term survival models where an additional cure fraction is informed. For illustrative purposes, these techniques are applied in the Weibull distribution. The algorithms and codes in R are presented, enabling the reproducibility of our study. Finally, we developed an R package that encapsulates these methodologies, providing researchers with practical tools for implementation.
format Preprint
id arxiv_https___arxiv_org_abs_2011_08417
institution arXiv
publishDate 2020
record_format arxiv
spellingShingle Sampling with censored data: a practical guide
Ramos, Pedro L.
Guzman, Daniel C. F.
Mota, Alex L.
Saavedra, Daniel A.
Rodrigues, Francisco A.
Louzada, Francisco
Computation
In this review, we present a simple guide for researchers to obtain pseudo-random samples with censored data. We focus our attention on the most common types of censored data, such as type I, type II, and random censoring. We discussed the necessary steps to sample pseudo-random values from long-term survival models where an additional cure fraction is informed. For illustrative purposes, these techniques are applied in the Weibull distribution. The algorithms and codes in R are presented, enabling the reproducibility of our study. Finally, we developed an R package that encapsulates these methodologies, providing researchers with practical tools for implementation.
title Sampling with censored data: a practical guide
topic Computation
url https://arxiv.org/abs/2011.08417