ArticleCurrent epidemiology reports2020
Causal inference in the face of competing events.
Article in Current epidemiology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Pooled Multinomial Logistic Regression for Parametric G-computation in the Presence of Competing Events.Epidemiology (Cambridge, Mass.) · 2026Article
- Pregnancy identification method as a source of bias in studies of prenatal exposures using real-world data.American journal of epidemiology · 2026Article
- Healthy Live Births as Censoring Versus Competing Events in Studies of Prenatal Medication Use.Paediatric and perinatal epidemiology · 2026Article
- Impact of Depression at HIV PrEP Initiation on Sustained PrEP Care Engagement Among US Gay and Bisexual Men.Journal of acquired immune deficiency syndromes (1999) · 2025Article
- Navigating the Complexities of Artificial Intelligence-Enabled Real-World Data Collection for Oncology Pharmacovigilance.JCO clinical cancer informatics · 2024Article
- Accounting for Competing Events When Evaluating Long-Term Outcomes in Survivors of Critical Illness.American journal of respiratory and critical care medicine · 2023Article
- Estimating Breast Cancer Overdiagnosis After Screening Mammography Among Older Women in the United States.Annals of internal medicine · 2023Article
- High-Dimensional Survival Analysis: Methods and Applications.Annual review of statistics and its application · 2023Article
- Longitudinal effects of lipid indices on incident cardiovascular diseases adjusting for time-varying confounding using marginal structural models: 25 years follow-up of two US cohort studies.Global epidemiology · 2022Article
- A practical guide to handling competing events in etiologic time-to-event studies.Global epidemiology · 2022Article
- A Brief Introduction to Competing Risks in the Context of Kidney Disease Epidemiology.Kidney360 · 2022Article
- Incremental Propensity Score Effects for Time-fixed Exposures.Epidemiology (Cambridge, Mass.) · 2021Article
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
purpose of reviewEpidemiologists frequently must handle competing events, which prevent the event of interest from occurring. We review considerations for handling competing events when interpreting results causally. RECENT
findingsWhen interpreting statistical associations as causal effects, we recommend following a causal inference "roadmap" as one would in an analysis without competing events. There are, however, special considerations to be made for competing events when choosing the causal estimand that best answers the question of interest, selecting the statistical estimand (e.g. the cause-specific or subdistribution) that will target that causal estimand, and assessing whether causal identification conditions (e.g., conditional exchangeability, positivity, and consistency) have been sufficiently met. SUMMARY: When doing causal inference in the competing events setting, it is critical to first ascertain the relevant question and the causal estimand that best answers it, with the choice often being between estimands that do and do not eliminate competing events.
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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.