tLagData {tLagPropOdds}

Toy Dataset For Illustration

Description

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.

Usage

data(tLagData)

Format

tLagData is a time-dependent data.frame containing the following information for 602 participants ascertained at day 90 of a fictitious randomized clinical trial.

id:

A unique participant identifier.

A:

The treatment received, where A={0,1}.

Cat:

The ordered outcome category. There are 6 categories ascertained at day 90.

1:

at home and off oxygen, number of days >= 77;

2:

at home and off oxygen, number of days 49-76;

3:

at home and off oxygen, number of days 1-48;

4:

not hospitalized and either at home on oxygen or not home;

5:

hospitalized for medical care or in hospice care; and

6:

dead.

If participant is censored, Cat = NA.

U:

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.

delta:

The event indicator (1 if U is the time at which the outcome category was determined; 0 if censored).

x:

A continuous baseline covariate.

start:

The lower bound of the time interval to which the given covariate values pertain.

stop:

The upper bound of the time interval to which the given covariate values pertain.

hospStatus:

A time-dependent indicator of hospital status, where 1 indicates that the participant was not in the hospital during interval (start, stop]; 0 otherwise.

daysOut:

The expected number of continuous days out of hospital at the time of the interim analysis (90 days).