FamEvent: An R Package for Generating and Modeling Time-to-Event Data in Family Designs
Dublin Core
Title
FamEvent: An R Package for Generating and Modeling Time-to-Event Data in Family Designs
Subject
ascertainment correction, correlated time-to-event data, EM algorithm, family
study designs, mutation carrier probability, penetrance function estimation.
study designs, mutation carrier probability, penetrance function estimation.
Description
FamEvent is a comprehensive R package for simulating and modeling age-at-disease
onset in families carrying a rare gene mutation. The package can simulate complex family
data for variable time-to-event outcomes under three common family study designs (population, high-risk clinic and multi-stage) with various levels of missing genetic information
among family members. Residual familial correlation can be induced through the inclusion of a frailty term or a second gene. Disease-gene carrier probabilities are evaluated
assuming Mendelian transmission or empirically from the data. When genetic information on the disease gene is missing, an expectation-maximization algorithm is employed
to calculate the carrier probabilities. Penetrance model functions with ascertainment correction adapted to the sampling design provide age-specific cumulative disease risks by
sex, mutation status, and other covariates for simulated data as well as real data analysis.
Robust standard errors and 95% confidence intervals are available for these estimates.
Plots of pedigrees and penetrance functions based on the fitted model provide graphical
displays to evaluate and summarize the models.
onset in families carrying a rare gene mutation. The package can simulate complex family
data for variable time-to-event outcomes under three common family study designs (population, high-risk clinic and multi-stage) with various levels of missing genetic information
among family members. Residual familial correlation can be induced through the inclusion of a frailty term or a second gene. Disease-gene carrier probabilities are evaluated
assuming Mendelian transmission or empirically from the data. When genetic information on the disease gene is missing, an expectation-maximization algorithm is employed
to calculate the carrier probabilities. Penetrance model functions with ascertainment correction adapted to the sampling design provide age-specific cumulative disease risks by
sex, mutation status, and other covariates for simulated data as well as real data analysis.
Robust standard errors and 95% confidence intervals are available for these estimates.
Plots of pedigrees and penetrance functions based on the fitted model provide graphical
displays to evaluate and summarize the models.
Creator
Yun-Hee Choi
Source
https://www.jstatsoft.org/article/view/v097i07
Publisher
The University of
Western Ontario
Western Ontario
Date
Januari 2021
Contributor
Fajar bagus W
Format
PDF
Language
Inggris
Type
Text
Files
Collection
Citation
Yun-Hee Choi, “FamEvent: An R Package for Generating and Modeling Time-to-Event Data in Family Designs,” Repository Horizon University Indonesia, accessed April 4, 2025, https://repository.horizon.ac.id/items/show/8182.