ArticleBiometrics2017
Accelerated failure time models for semi-competing risks data in the presence of complex censoring.
Article in Biometrics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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
24 citing papers in PubMed.
- DEEP LEARNING OF SEMI-COMPETING RISK DATA VIA A NEW NEURAL EXPECTATION-MAXIMIZATION ALGORITHM.The annals of applied statistics · 2026Article
- An Overview and Recent Developments in the Analysis of Multistate Processes.Statistics in medicine · 2026Review
- A New Parametric Accelerated Failure Time Model for Semi-Competing Risks Data.Statistics in medicine · 2026Article
- Association of Systolic and Diastolic Blood Pressure with the Risk of End-Stage Renal Disease in Older Type 2 Diabetes Mellitus Patients without Cardiovascular Disease: A Nationwide Population-Based Study (Diabetes Metab J 2025;49:1308-17).Diabetes & metabolism journal · 2026Article
- Comment on "Lean body mass index and hypertension risk in men: a nationwide epidemiological cohort study".Hypertension research : official journal of the Japanese Society of Hypertension · 2026Article
- Comment on "Prognostic Value of Modified Glasgow Prognostic Score in Acute Decompensated Heart Failure with Reduced Ejection Fraction".Journal of clinical practice and research · 2026Article
- Effects of Zibotentan and Dapagliflozin on Fluid Retention in Patients with CKD: Need More Evidence.Journal of the American Society of Nephrology : JASN · 2025Article
- Methodological Considerations Regarding the Article "Association Between Non-Benzodiazepine Hypnotics and Tinnitus: A Nationwide Cohort Study in Taiwan" [Letter].Nature and science of sleep · 2025Article
- Commentary: Molecular and immunological features of TREM1 and its emergence as a prognostic indicator in glioma.Frontiers in immunology · 2025Article
- Limitations of applying the COX proportional hazards model to glioma studies.Journal of translational medicine · 2024Article
- Comment on 'Change in Physical Activity and Its Association With Decline in Kidney Function: A UK Biobank-Based Cohort Study' by Liu et al.Journal of cachexia, sarcopenia and muscle · 2024Article
- Limitations of the cox proportional hazards model and alternative approaches in metachronous recurrence research.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2024Article
- Association of Uterine Leiomyoma with Type 2 Diabetes Mellitus in Young Women: A Population-Based Cohort Study (Diabetes Metab J 2024;48:1105-13).Diabetes & metabolism journal · 2024Article
- An augmented illness-death model for semi-competing risks with clinically immediate terminal events.Statistics in medicine · 2024Article
- Group lasso priors for Bayesian accelerated failure time models with left-truncated and interval-censored data.Statistical methods in medical research · 2024Article
- Characterizing quantile-varying covariate effects under the accelerated failure time model.Biostatistics (Oxford, England) · 2024Article
- Semiparametric copula method for semi-competing risks data subject to interval censoring and left truncation: Application to disability in elderly.Statistical methods in medical research · 2023Article
- Causal inference for semi-competing risks data.Biostatistics (Oxford, England) · 2022Article
- A bayesian approach to model the underlying predictors of early recurrence and postoperative death in patients with colorectal Cancer.BMC medical research methodology · 2022Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Statistical analyses that investigate risk factors for Alzheimer's disease (AD) are often subject to a number of challenges. Some of these challenges arise due to practical considerations regarding data collection such that the observation of AD events is subject to complex censoring including left-truncation and either interval or right-censoring. Additional challenges arise due to the fact that study participants under investigation are often subject to competing forces, most notably death, that may not be independent of AD. Towards resolving the latter, researchers may choose to embed the study of AD within the "semi-competing risks" framework for which the recent statistical literature has seen a number of advances including for the so-called illness-death model. To the best of our knowledge, however, the semi-competing risks literature has not fully considered analyses in contexts with complex censoring, as in studies of AD. This is particularly the case when interest lies with the accelerated failure time (AFT) model, an alternative to the traditional multiplicative Cox model that places emphasis away from the hazard function. In this article, we outline a new Bayesian framework for estimation/inference of an AFT illness-death model for semi-competing risks data subject to complex censoring. An efficient computational algorithm that gives researchers the flexibility to adopt either a fully parametric or a semi-parametric model specification is developed and implemented. The proposed methods are motivated by and illustrated with an analysis of data from the Adult Changes in Thought study, an on-going community-based prospective study of incident AD in western Washington State.
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.