ex_finegray: Simulated example data with competing risks outcome and...
In smcfcs: Multiple Imputation of Covariates by Substantive Model Compatible Fully Conditional Specification
ex_finegray R Documentation
Simulated example data with competing risks outcome and partially observed covariates
Description
A dataset containing simulated competing risks data. There are two competing risks, and
some times are also censored. Proportionality holds on the subdistribution hazard scale for
cause 2, where for dataset 'ex_compet' it instead holds on the cause-specific
hazard scale.
Usage
ex_finegray
Format
A data frame with 1000 rows and 4 variables:
- times
Time to event or censoring
- d
Indicator of whether event 1 occurred (d=1), event 2 occurred (d=2) or individual was censored (d=0)
- x1
Partially observed binary covariate, with linear effects on log subdistribution hazard of cause 1
- x2
Partially observed normally distributed (conditional on x1) covariate, with linear effects
on log subdistribution hazard of cause 1
smcfcs documentation built on April 4, 2025, 1:58 a.m.
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| ex_finegray | R Documentation |
Simulated example data with competing risks outcome and partially observed covariates
Description
A dataset containing simulated competing risks data. There are two competing risks, and some times are also censored. Proportionality holds on the subdistribution hazard scale for cause 2, where for dataset 'ex_compet' it instead holds on the cause-specific hazard scale.
Usage
ex_finegray
Format
A data frame with 1000 rows and 4 variables:
- times
Time to event or censoring
- d
Indicator of whether event 1 occurred (d=1), event 2 occurred (d=2) or individual was censored (d=0)
- x1
Partially observed binary covariate, with linear effects on log subdistribution hazard of cause 1
- x2
Partially observed normally distributed (conditional on x1) covariate, with linear effects on log subdistribution hazard of cause 1
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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