marriage_dataset: Marriage data
In bayesCureRateModel: Bayesian Cure Rate Modeling for Time-to-Event Data
marriage_dataset R Documentation
Marriage data
Description
The variable of interest (time) corresponds to the duration (in years) of first marriage for 1500 individuals. The available covariates are:
age age of respondent (in years) at the time of first marriage. The values are standardized (sample mean and variance equal to 0 and 1, respectively).
kids factor: whether there were kids during the first marriage ("yes") or not ("no").
race race of respondent with levels: "black", "hispanic" and "other".
Among the 1500 observations, there are 1018 censoring times (censoring = 0) and 482 divorces (censoring = 1). Source: National Longitudinal Survey of Youth 1997 (NLSY97).
Usage
data(marriage_dataset)
Format
Time-to-event data.
References
Bureau of Labor Statistics, U.S. Department of Labor. National Longitudinal Survey of Youth 1997 cohort, 1997-2022 (rounds 1-20). Produced and distributed by the Center for Human Resource Research (CHRR), The Ohio State University. Columbus, OH: 2023.
bayesCureRateModel documentation built on Oct. 4, 2024, 1:07 a.m.
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| marriage_dataset | R Documentation |
Marriage data
Description
The variable of interest (time) corresponds to the duration (in years) of first marriage for 1500 individuals. The available covariates are:
ageage of respondent (in years) at the time of first marriage. The values are standardized (sample mean and variance equal to 0 and 1, respectively).
kidsfactor: whether there were kids during the first marriage (
"yes") or not ("no").racerace of respondent with levels:
"black","hispanic"and"other".
Among the 1500 observations, there are 1018 censoring times (censoring = 0) and 482 divorces (censoring = 1). Source: National Longitudinal Survey of Youth 1997 (NLSY97).
Usage
data(marriage_dataset)Format
Time-to-event data.
References
Bureau of Labor Statistics, U.S. Department of Labor. National Longitudinal Survey of Youth 1997 cohort, 1997-2022 (rounds 1-20). Produced and distributed by the Center for Human Resource Research (CHRR), The Ohio State University. Columbus, OH: 2023.
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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