ArticleEpidemiology (Cambridge, Mass.)2014
Commentary: Applying a causal road map in settings with time-dependent confounding.
Article in Epidemiology (Cambridge, Mass.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed.
- Applications and reporting of causal inference modelling in infectious disease studies: A systematic review.Infectious Disease Modelling · 2026Article
- Is Checking for Sequential Positivity Violations Getting You Down? Try sPoRT!Epidemiology (Cambridge, Mass.) · 2025Article
- Modeling Versus Balancing Approaches to Addressing Instrumental Variables in Weighting: A Comparison of the Outcome-Adaptive Lasso, Stable Balancing Weighting, and Stable Confounder Selection.Pharmacoepidemiology and drug safety · 2025Article
- Causal Inference for Continuous Multiple Time Point Interventions.Statistics in medicine · 2024Article
- A Review of Causal Inference Methods for Estimating the Effects of Exposure Change When Incident Exposure Is Unobservable.Current epidemiology reports · 2024Article
- Application of a Heuristic Framework for Multilevel Interventions to Eliminate the Impact of Unjust Social Processes and Other Harmful Social Determinants of Health.Prevention science : the official journal of the Society for Prevention Research · 2024Article
- A causal roadmap for generating high-quality real-world evidence.Journal of clinical and translational science · 2023Review
- Timing of dialysis in acute kidney injury using routinely collected data and dynamic treatment regimes.Critical care (London, England) · 2022Article
- A Framework for Descriptive Epidemiology.American journal of epidemiology · 2022Article
- Transfering Targeted Maximum Likelihood Estimation for Causal Inference into Sports Science.Entropy (Basel, Switzerland) · 2022Article
- The Role of the Natural Course in Causal Analysis.American journal of epidemiology · 2022Article
- The Epidemiologic Toolbox: Identifying, Honing, and Using the Right Tools for the Job.American journal of epidemiology · 2020Article
- The Critical Importance of Asking Good Questions: The Role of Epidemiology Doctoral Training Programs.American journal of epidemiology · 2020Article
- Using longitudinal targeted maximum likelihood estimation in complex settings with dynamic interventions.Statistics in medicine · 2019Article
- Counterpoint: Keeping the Demons at Bay When Handling Time-Varying Exposures-Beyond Avoiding Immortal Person-Time.American journal of epidemiology · 2019Article
- Bootstrap inference when using multiple imputation.Statistics in medicine · 2018Article
- Estimating the Comparative Effectiveness of Feeding Interventions in the Pediatric Intensive Care Unit: A Demonstration of Longitudinal Targeted Maximum Likelihood Estimation.American journal of epidemiology · 2017Article
- Evaluating the Impact of a HIV Low-Risk Express Care Task-Shifting Program: A Case Study of the Targeted Learning Roadmap.Epidemiologic methods · 2016Article
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Authors and funding
1 author.
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Abstract
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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.