ArticleAmerican journal of epidemiology2019
Post-Modern Epidemiology: When Methods Meet Matter.
Article in American journal of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses 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
21 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Sex ratio and age of onset in AQP4 antibody-associated NMOSD: a review and meta-analysis.Journal of neurology · 2024Pooled it
- Synthesizing Core Outcome Sets for outcomes research in cohort studies: a systematic review.Pediatric research · 2022Pooled it
- Early-life infections and life course health and disease in the EU child cohort network.European journal of epidemiology · 2026Article
- Negative controls and how to use them: a guidance paper.International journal of epidemiology · 2026Article
- Multi-omics analysis of deep brain stimulation associated with brain-gut axis modulation and symptom amelioration in a Parkinson's disease mouse model.Biology direct · 2026Article
- Gaps in Population Life Course Phenotype Trajectories Underlying Major Noncommunicable Diseases: A Scoping Review.International journal of population data science · 2026Article
- A scoping review of adult NCD-relevant phenotypes measured in today's large child cohort studies.Pediatric research · 2025Article
- Radon exposure and COVID-19 mortality in pre-vaccination period: What links might exist?PloS one · 2025Article
- Chance, ignorance, and the paradoxes of cancer: Richard Peto on developing preventative strategies under uncertainty.European journal of epidemiology · 2023Article
- Parental inflammatory bowel disease and autism in children.Nature medicine · 2022Article
- Interpreting Mendelian-randomization estimates of the effects of categorical exposures such as disease status and educational attainment.International journal of epidemiology · 2022Article
- Causal Inference with Genetic Data: Past, Present, and Future.Cold Spring Harbor perspectives in medicine · 2022Review
- Is genetic liability to ADHD and ASD causally linked to educational attainment?International journal of epidemiology · 2022Article
- Religiosity and Mental Wellbeing Among Members of Majority and Minority Religions: Findings From Understanding Society: the UK Household Longitudinal Study.American journal of epidemiology · 2022Article
- Bann and Aksoy Respond to "Religious Service Attendance and Public Health".American journal of epidemiology · 2022Article
- Point: Reconciling Epidemiology's Aspirations and Capabilities.American journal of epidemiology · 2021Article
- What Regional Living Conditions Affect Individual Smoking of Adults in Russia.International journal of public health · 2021Article
- When will individuals meet their personalized probabilities? A philosophical note on risk prediction.European journal of epidemiology · 2020Article
- The Authors Respond.Epidemiology (Cambridge, Mass.) · 2020Article
- Mendel's laws, Mendelian randomization and causal inference in observational data: substantive and nomenclatural issues.European journal of epidemiology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
In the last third of the 20th century, etiological epidemiology within academia in high-income countries shifted its primary concern from attempting to tackle the apparent epidemic of noncommunicable diseases to an increasing focus on developing statistical and causal inference methodologies. This move was mutually constitutive with the failure of applied epidemiology to make major progress, with many of the advances in understanding the causes of noncommunicable diseases coming from outside the discipline, while ironically revealing the infectious origins of several major conditions. Conversely, there were many examples of epidemiologic studies promoting ineffective interventions and little evident attempt to account for such failure. Major advances in concrete understanding of disease etiology have been driven by a willingness to learn about and incorporate into epidemiology developments in biology and cognate data science disciplines. If fundamental epidemiologic principles regarding the rooting of disease risk within populations are retained, recent methodological developments combined with increased biological understanding and data sciences capability should herald a fruitful post-Modern Epidemiology world.
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.