These data are provided for the purposes of illustrating the use of the software. Though the data were generated under a scenario similar to a real-world COVID-19 therapeutics clinical trial, they should not be interpreted as representing true clinical trial data.
data(tLagData)tLagData is a time-dependent data.frame containing the following information for 602 participants ascertained at day 90 of a fictitious randomized clinical trial.
A unique participant identifier.
The treatment received, where A={0,1}.
The ordered outcome category. There are 6 categories ascertained at day 90.
at home and off oxygen, number of days >= 77;
at home and off oxygen, number of days 49-76;
at home and off oxygen, number of days 1-48;
not hospitalized and either at home on oxygen or not home;
hospitalized for medical care or in hospice care; and
dead.
If participant is censored, Cat = NA.
The time at which the outcome category was determined or the censoring time. For Cat = 1-5, U is the interim analysis time (90 days). For Cat = 6, U is the time of death. For Cat = NA, U is the censoring time.
The event indicator (1 if U is the time at which the outcome category was determined; 0 if censored).
A continuous baseline covariate.
The lower bound of the time interval to which the given covariate values pertain.
The upper bound of the time interval to which the given covariate values pertain.
A time-dependent indicator of hospital status, where 1 indicates that the participant was not in the hospital during interval (start, stop]; 0 otherwise.
The expected number of continuous days out of hospital at the time of the interim analysis (90 days).