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SurvImpute (version 0.1.0)

Multiple Imputation for Missing Covariates in Time-to-Event Data

Description

Generates multiple imputed datasets from a substantive model compatible fully conditional specification model for time-to-event data. Our method assumes that the censoring process also depends on the covariates with missing values. Details will be available in an upcoming publication.

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Version

Install

install.packages('SurvImpute')

Monthly Downloads

103

Version

0.1.0

License

GPL-3

Maintainer

Qinghua Lian

Last Published

January 31st, 2025

Functions in SurvImpute (0.1.0)

new.smcfcs.compt

Multiple imputation method for missing covariates in competing risks endpoint.
generate.surv

Simulate survival endpoints data where censoring depends on missing covariates.
new.smcfcs.surv

Multiple imputation method for missing covariates in survival endpoint.
generate.compt

Simulate competing risks endpoints data where censoring depends on missing covariates.