Creates an S4 class for a landmarking analysis
Usage
LandmarkAnalysis(
data_static,
data_dynamic,
event_indicator,
ids,
event_time,
times,
measurements,
censor_at_landmark = TRUE,
K = 1
)Arguments
- data_static
A data frame containing subject ids, static covariates,
- data_dynamic
Data frame in long format with subject ids, measurement values, measurement times and measurement name.
- event_indicator
Name of the column indicating event or censoring.
- ids
Name of the column indicating subject ids.
- event_time
Name of the column indicating time of the event/censoring.
- times
Name of the column indicating observation time in
data_dynamic.- measurements
Name of the column indicating measurement values in
data_dynamic.- censor_at_landmark
Boolean indicating whether to fit a single longitudinal model to the complete dataset (FALSE) or to censor observations at the landmark time prior to fitting the longitudinal model, iterating through landmark times (TRUE; default)
- K
Number of cross-validation folds (by default, 1).