samp_srcs {svycoxme} | R Documentation |
Simple random cluster sample of 100 clusters from synthetic population data, pop.
Description
This is made-up time-to-event data with properties that make it useful for testing and
demonstrating svycoxme
functions. There is a single level of clustering,
identified with group_id, and the X covariates depend on Z covariates.
Usage
samp_srcs
Format
A data frame with 20,000 rows and 10 columns:
- X1
Observation-level
N(\mu_{X1}, 1)
distributed covariate where\mu_{X1}=0.5*(Z1 + 1)
.- X2
Cluster-level
N(\mu_{X2}, 1)
distributed covariate where\mu_{X2}=0.5*(Z2 + Z3)
.- X3
Cluster-level binary covariate where
Pr(X3=1) = Z3
.- Z1
Stratum membership. Takes the values 1 to 5.
- Z2
cluster-level N(0,1) distributed covariate.
- Z3
cluster-level Uniform(0,1) distributed covariate.
- stat_time
Event or Censoring time.
- stat
Event/Censoring indicator. Event=1; Censoring=0.
- group_id
Unique cluster ID.
- obs_id
Unique observation ID.
- fpc
Total number of clusters in the population.
- weight
Observation-level inverse probability of selection weight.