Description Usage Format Source
A dataset containing the survival times, censoring status, biomarkers and indicators for learn/confirm allocations. This dataset is used as an example to illustrate how to perform a simulation study for evaluating key parameters in an adaptive signature design (ASD).
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A data frame with 70,000 rows and 13 variables:
an index for the 100 simulated datasets, each consisting of 700 subjects
unique subject IDs in each dataset
treatment arm indicator (0 = control; 1 = treatment)
survival time (in days)
censoring status (0 = censored; 1 = event)
continuous biomarkers, generated from Uniform(0,1) distribution
indicator (0/1) for learn/confirm allocations: column name "30" means 30% of subjects are in the learn stage, while 70% are in the confirm stage
Results from an internal simulator at Eli Lilly and Company. The dataset is identical to the one used in the manuscript, scenario: n=700, p=3, the strongest predictive biomarker effect.
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