ArticleStatistics in medicine2026
The Cox-Aalen Rate Model for Recurrent Events With an Informative Terminal Event.
Article in Statistics in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Recurrent event data arise frequently in many clinical and observational studies. In this article, we propose a Cox-Aalen rate model to analyze recurrent event data with a terminal event, where the covariate effects are additive, time-varying, and dependent on a latent variable nonparametrically. The association between recurrent and terminal events is fully nonparametric, and a proportional hazards model is specified for the terminal event. To estimate the model parameters, an estimating equation approach is developed and kernel-smoothing techniques are employed to estimate the conditional expectations in the estimating equation. The asymptotic properties of the proposed estimators are derived, and the finite sample performance is evaluated through simulation studies. An application to medical cost data for chronic heart failure patients is presented.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.