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Fixed-time Aalen–Johansen outputs are well-defined statistics
Statement
Fix , finite , and , and let carry its Borel sigma-algebra as a Euclidean subspace, where status denotes censoring and status denotes an observed cause- event. Let be any statistical experiment with sample space . Equip with its Borel sigma-algebra. The output vector of Aalen–Johansen cumulative-incidence estimator at horizon is a measurable map and hence a statistic in . Every event-time denominator is positive.
Facts & Assumptions
Given: The statistical experiment, sample space, and fixed horizon in the Statement, with the procedure of Aalen–Johansen cumulative-incidence estimator.
Aalen–Johansen cumulative-incidence estimator: , and ; updates use only event times with .
Statistics and estimators: a statistic is a measurable map from the observation space to a measurable target space; an estimator is a statistic with the estimand's target space.
A measurable function between measurable spaces: measurability means that the preimage of every target measurable set is measurable.
Arithmetic and lattice operations preserve measurability whenever they are defined: finite sums and products of real measurable functions are measurable wherever defined.
Proof
For every , the predicates , , , and each finite-valued cause-status predicate define Borel subsets of : the coordinate-comparison sets are closed in the Euclidean sample space, and status slices are Borel in the finite status space. Hence and are finite sums of measurable indicators by [F1] and [F4]. If is an event at , then its indicator is included in and in , so .
For each event record the ratio has finite range, since both counts lie in and the denominator is in ; each level set is a finite union of Borel count-level sets, so the ratio is measurable. The indicator selecting the first record at each distinct event time and the ordering of the at most event times are also determined by finitely many Borel equalities and inequalities. The updates in [F1] therefore form finite sums and products of measurable functions; [F4] makes every coordinate of the output vector measurable. By [F2] and [F3], this vector is a statistic, and step 1.1 proves its denominators are positive.
Depends on
Used by
Nothing in the library uses this result yet.
Cited to discharge well-definedness by Aalen–Johansen cumulative-incidence estimator.
Dependency tree · two levels
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Sources
- Lu Tian and Richard Olshen, Competing Risk and Alternatives to Cox Model, Stanford University STAT331, slides 2–12 (standard reference, not scraped)
- Janne Pitkäniemi and Esa Läärä, Survival analysis with competing risks, Statistical Practice in Epidemiology using R, University of Tartu, slides 13–24 (standard reference, not scraped)