ArticleAmerican journal of epidemiology2011
Remarks on antagonism.
Article in American journal of epidemiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
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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.
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Who cites it
25 citing papers in PubMed.
- Cancer, genetic susceptibility and risk of coronary artery disease: A prospective study.American journal of preventive cardiology · 2025Article
- Bacterial Community Modifies Host Genetics Effect on Early Childhood Caries.Journal of dental research · 2023Article
- Parental occupational exposure to solvents and autism spectrum disorder: An exploratory look at gene-environment interactions.Environmental research · 2023Article
- When social identities intersect: understanding inequities in growth outcomes by religion- caste and religion-tribe as intersecting strata of social hierarchy for Muslim and Hindu children in India.International journal for equity in health · 2023Article
- Bacterial community modifies host genetics effect on early childhood caries.medRxiv : the preprint server for health sciences · 2023Article
- Joint effect of highly-sensitive cardiac troponin T and ankle-brachial index on incident cardiovascular events: The MESA and CHS.American journal of preventive cardiology · 2023Article
- On the evolution of concepts of causal and preventive interdependence in epidemiology in the late 20European journal of epidemiology · 2022Article
- Detecting drug-drug interactions between therapies for COVID-19 and concomitant medications through the FDA adverse event reporting system.Frontiers in pharmacology · 2022Article
- Strength in causality: discerning causal mechanisms in the sufficient cause model.European journal of epidemiology · 2021Article
- Combining next-generation indoor residual spraying and drug-based malaria control strategies: observational evidence of a combined effect in Mali.Malaria journal · 2020Article
- Response: Association between Non-Alcoholic Steatohepatitis and Left Ventricular Diastolic Dysfunction in Type 2 Diabetes Mellitus (Diabetes Metab J 2020;44:267-76).Diabetes & metabolism journal · 2020Article
- The Interaction Continuum.Epidemiology (Cambridge, Mass.) · 2019Review
- Testing for Sufficient-Cause Interactions in Case-Control Studies of Non-Rare Diseases.Scientific reports · 2018Article
- Studying additive interaction in a healthcare database: Case study of NSAIDs, cardiovascular profiles, and acute myocardial infarction.PloS one · 2018Article
- Invited Commentary: The Continuing Need for the Sufficient Cause Model Today.American journal of epidemiology · 2017Article
- Sharp bounds on sufficient-cause interactions under the assumption of no redundancy.BMC medical research methodology · 2017Article
- Complementary Log Regression for Sufficient-Cause Modeling of Epidemiologic Data.Scientific reports · 2016Article
- Sufficient Cause Representation of the Four-way Decomposition for Mediation and Interaction.Epidemiology (Cambridge, Mass.) · 2016Article
- Article
- Estimation of a common effect parameter from follow-up data when there is no mechanistic interaction.PloS one · 2014Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Different forms of antagonism are classified in terms of response types and are related to the sufficient-cause framework. These forms of antagonism include "synergy under recoding of an exposure," "synergism under recoding of the outcome," and so-called "competing response types," with synergism itself conceived of as causal co-action within the sufficient-cause framework. In this paper, the authors show that subadditivity necessarily implies at least one of these 3 forms of antagonism. Empirical conditions for specific forms of antagonism are given for settings in which monotonicity assumptions are and are not considered plausible. The implications of subadditivity and superadditivity for causal co-action for either an outcome or its absence are characterized under various assumptions about monotonicity. A simple computational procedure is described for assessing whether any specific form of causal co-action can be detected for either an outcome or its absence for both cohort and case-control data. The results in this paper are illustrated by application to examples drawn from the existing literature on gene-gene and gene-environment interactions.
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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.