ArticleStatistics in medicine2016
Quantifying risk over the life course - latency, age-related susceptibility, and other time-varying exposure metrics.
Article in Statistics in medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Holistic Assessment of Factors Associated with Exhaustion, the Main Symptom of Burnout: A Meta-Analysis of Longitudinal Studies.International journal of environmental research and public health · 2022Pooled it
- Impact of time-varying cumulative bevacizumab exposures on survival: re-analysis of data from randomized clinical trial in patients with metastatic colo-rectal cancer.BMC medical research methodology · 2021Trial
- Bridging the life-course exposome approach with a life-cycle perspective in safe and sustainable by design (SSbD) for chemical risk.Human genomics · 2026Article
- Exposure Measurement Error Correction in Longitudinal Studies With Discrete Outcomes.Statistics in medicine · 2025Article
- Correcting for bias due to mismeasured exposure history in longitudinal studies with continuous outcomes.Biometrics · 2023Article
- ESTIMATION AND INFERENCE FOR EXPOSURE EFFECTS WITH LATENCY IN THE COX PROPORTIONAL HAZARDS MODEL IN THE PRESENCE OF EXPOSURE MEASUREMENT ERROR.The annals of applied statistics · 2023Article
- Closing the Gap Between Observational Research and Randomized Controlled Trials for Prevention of Alzheimer Disease and Dementia.Epidemiologic reviews · 2022Article
- Time-varying associations between an exposure history and a subsequent health outcome: a landmark approach to identify critical windows.BMC medical research methodology · 2021Article
- There is no impact of exposure measurement error on latency estimation in linear models.Statistics in medicine · 2019Article
- Survival analysis with functions of mismeasured covariate histories: the case of chronic air pollution exposure in relation to mortality in the nurses' health study.Journal of the Royal Statistical Society. Series C, Applied statistics · 2018Article
- Evaluating Public Health Interventions: 6. Modeling Ratios or Differences? Let the Data Tell Us.American journal of public health · 2017Article
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
Identification of the latency period and age-related susceptibility, if any, is an important aspect of assessing risks of environmental, nutritional, and occupational exposures. We consider estimation and inference for latency and age-related susceptibility in relative risk and excess risk models. We focus on likelihood-based methods for point and interval estimation of the latency period and age-related windows of susceptibility coupled with several commonly considered exposure metrics. The method is illustrated in a study of the timing of the effects of constituents of air pollution on mortality in the Nurses' Health Study. Copyright © 2016 John Wiley & Sons, Ltd.
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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.