toy_long_dropoutN: Artifical data set used to test the functionality of...
In confoundr: Diagnostics for Confounding of Time-Varying and Other Joint Exposures
Description
The toy_wide_dropoutN data set contains 10,000 records and 52
variables. These variables include time-varying exposures,
outcomes, and covariates, along with strata and censoring
indicators. Time-varying inverse-probability-of-exposure
weights and censoring weights are available as well.
Usage
1
Format
A data frame with 3,000 rows and 13 variables:
- uid
subject ID
- time
time of observation
- a
exposure measurement at time t
- l
covariate measurement at time t
- m
covariate measurement at time t
- n
covariate measurement at time t
- o
covariate measurement at time t
- p
covariate measurement at time t
- s
censoring indicator at time t
- h
exposure history at time t
- hx
grouped exposure history, by p_0, at time t
- wa
inverse probability of exposure and censoring weight at time t
- wax
cumulative inverse probability of exposure weight at time t
- wsx
cumulative inverse probability of censoring weight at time t
- e5
propensity score strata at time t
confoundr documentation built on Sept. 20, 2019, 9:03 a.m.
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
The toy_wide_dropoutN data set contains 10,000 records and 52 variables. These variables include time-varying exposures, outcomes, and covariates, along with strata and censoring indicators. Time-varying inverse-probability-of-exposure weights and censoring weights are available as well.
Usage
1 |
Format
A data frame with 3,000 rows and 13 variables:
- uid
subject ID
- time
time of observation
- a
exposure measurement at time t
- l
covariate measurement at time t
- m
covariate measurement at time t
- n
covariate measurement at time t
- o
covariate measurement at time t
- p
covariate measurement at time t
- s
censoring indicator at time t
- h
exposure history at time t
- hx
grouped exposure history, by p_0, at time t
- wa
inverse probability of exposure and censoring weight at time t
- wax
cumulative inverse probability of exposure weight at time t
- wsx
cumulative inverse probability of censoring weight at time t
- e5
propensity score strata at time t
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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