schemaCrr
Fine-Gray competing-risk association schema
Description
schemaCrr() defines the result and artifact contract for Fine-Gray competing-risk models produced by associate$regression(model = “crr”).
Usage
schemaCrr()
Value
A schema definition list.
Result semantics
Fine-Gray rows represent coefficient-level tests on the log-subdistribution hazard scale. For a categorical predictor with k levels, the result table contains k - 1 contrast rows relative to the reference level.
-
outcome: endpoint/event-of-interest indicator. -
time: observed time or age at endpoint, competing event, or censoring. -
competing: competing-event indicator. -
predictor: tested predictor. -
term: coefficient term retained for the tested predictor or requested interaction. -
term.type:mainfor predictor coefficient rows orinteractionfor predictor-by-modifier coefficient rows. -
effect.scale:log.subdistribution.hazard. -
estimate: log subdistribution hazard ratio. Forest plots exponentiate this to an SHR. -
se,lower,upper: standard error and confidence interval on the log-subdistribution-hazard scale. -
statistic: z statistic. -
p.value,adj.p.value: raw and adjusted coefficient p-values. -
n,n.events,n.competing: complete observations, endpoint events, and competing events used by the model. -
formula: displayed Fine-Gray specification.
Artifacts
Optional observed.curves contains aggregate observed cumulative-incidence curves. Optional predicted.curves contains adjusted model-predicted cumulative-incidence curves for explicit prediction profiles. Optional prediction.grid records those profiles. Optional group.summary provides curve-level counts for information tables.