A simulated dataset containing a single continuous longitudinal outcome and a single survival outcome, with data available from 5 studies. This dataset does not have longitudinal measurements capped at each individual's survival time.
A list of three objects:
A list of long format longitudinal datasets one for each of the 5 studies included in the dataset. Each of these datasets contains the following variables:
long version of the id variable for the data. Identical ids between the longitudinal and the survival datasets identify the same individual
a continuous longitudinal outcome
the longitudinal time variable
a long version of the study membership indicator
a long version of the intercept, always takes a value of 1
a long version of the binary treatment group indicator
a duplicate of the longitudinal time variable, duplicated as part of the longitudinal data simulation process
A list of survival datasets, one for each of the 5 studies included in the dataset. Each of these datasets contains the following variables:
the id variable for the data. Identical ids between the longitudinal and the survival datasets identify the same individual
the survival time for each individual at which they experienced the event or were censored. This is on the same scale as the longitudinal time measurements.
censoring indicator for the survival data where 1 indicates an event and 0 indicates censoring
study membership indicator
binary treatment group indicator
A list of the percentage of events experienced in each datasets. The first element contains the percentage of events observed for the first simulated study and so on.
This is a simulated dataset generated in order to show how the
removeafter works, as it does not cap longitudinal
outcomes at each individual's survival time. This data was generated by
manually stepping through the code available in simjointmeta and retaining
instead of discarding any simulated longitudinal measurements recorded
after the individual in question's survival time.
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