ArticleStatistical methods in medical research2020
Time-to-event analysis when the event is defined on a finite time interval.
Article in Statistical methods in medical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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Who cites it
7 citing papers in PubMed.
- A multistate transition model for survival estimation in randomized trials with treatment switching and a cured subgroup.BMC medical research methodology · 2025Article
- Microbiome-based prediction of allogeneic hematopoietic stem cell transplantation outcome.Genome medicine · 2025Article
- An augmented illness-death model for semi-competing risks with clinically immediate terminal events.Statistics in medicine · 2024Article
- Article
- An improved method for the effect estimation of the intermediate event on the outcome based on the susceptible pre-identification.BMC medical research methodology · 2021Article
- Fitting a shared frailty illness-death model to left-truncated semi-competing risks data to examine the impact of education level on incident dementia.BMC medical research methodology · 2021Article
- SemiCompRisks: An R Package for the Analysis of Independent and Cluster-correlated Semi-competing Risks Data.The R journal · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Acute graft-versus-host disease (GVHD) is a frequent complication following hematopoietic cell transplantation (HCT). Research on risk factors for acute GVHD has tended to ignore two important clinical issues. First, post-transplant mortality is high. In our motivating data, 100-day post-HCT mortality was 15.4%. Second, acute GVHD in its classic form is only diagnosed within 100 days of the transplant; beyond 100 days, a patient may be diagnosed with late onset acute or chronic GVHD. Standard modeling of time-to-event outcomes, however, generally conceive of patients being able to experience the event at any point on the time scale. In this paper, we propose a novel multi-state model that simultaneously: (i) accounts for mortality through joint modeling of acute GVHD and death, and (ii) explicitly acknowledges the finite time interval during which the event of interest can take place. The observed data likelihood is derived, with estimation and inference via maximum likelihood. Additionally, we provide methods for estimating the absolute risk of acute GVHD and death simultaneously. The proposed framework is compared via comprehensive simulations to a number of alternative approaches that each acknowledge some but not all aspects of acute GVHD, and illustrated with an analysis of HCT data that motivated this work.
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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.