example_sml | R Documentation |
The example_sml data set contains 10,000 records and 38 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.
data(example_sml)
A data frame with 10,000 rows and 38 variables:
row label, can be ignored
subject ID
exposure measurement at time 0
exposure measurement at time 1
exposure measurement at time 2
covariate measurement at time 0
covariate measurement at time 1
covariate measurement at time 2
covariate measurement at time 0
covariate measurement at time 1
covariate measurement at time 2
covariate measurement at time 0
covariate measurement at time 1
covariate measurement at time 2
covariate measurement at time 0
covariate measurement at time 1
covariate measurement at time 2
covariate measurement at time 0
covariate measurement at time 1
covariate measurement at time 2
inverse probability of exposure weight at time 0
inverse probability of exposure weight at time 1
inverse probability of exposure weight at time 2
cumulative inverse probability weight of exposure at time 0
cumulative inverse probability weight of exposure at time 1
cumulative inverse probability weight of exposure at time 2
cumulative inverse probability of censoring weight at time 0
cumulative inverse probability of censoring weight at time 1
cumulative inverse probability of censoring weight at time 2
propensity score strata at time 0
propensity score strata at time 1
propensity score strata at time 2
exposure history at time 0
exposure history at time 1
exposure history at time 2
censoring indicator at time 0
censoring indicator at time 1
censoring indicator at time 2
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