ArticleAmerican journal of epidemiology2015
A Meta-Regression Method for Studying Etiological Heterogeneity Across Disease Subtypes Classified by Multiple Biomarkers.
Article in American journal of epidemiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
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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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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.
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Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Role of the Gut Microbiome in Clinical Outcomes of Colorectal Cancer: A Systematic Review (2020-2025).Oncology research · 2026Pooled it
- Unique role of the prospective cohort incident-tumor biobank method in etiological research.Lancet regional health. Americas · 2026Review
- Efficiency for evaluation of disease etiologic heterogeneity in case-case and case-control studies.The international journal of biostatistics · 2025Article
- Assessing etiological heterogeneity for multinomial outcome with two-phase outcome-dependent sampling design.American journal of epidemiology · 2025Article
- A mixed-model approach for powerful testing of genetic associations with cancer risk incorporating tumor characteristics.Biostatistics (Oxford, England) · 2021Article
- Validity of a method for identifying disease subtypes that are etiologically heterogeneous.Statistical methods in medical research · 2021Article
- Subtypes of Preeclampsia: Recognition and Determining Clinical Usefulness.Hypertension (Dallas, Tex. : 1979) · 2021Review
- The microbiome, genetics, and gastrointestinal neoplasms: the evolving field of molecular pathological epidemiology to analyze the tumor-immune-microbiome interaction.Human genetics · 2021Review
- Risk Factor Profiles Differ for Cancers of Different Regions of the Colorectum.Gastroenterology · 2020Article
- Integration of microbiology, molecular pathology, and epidemiology: a new paradigm to explore the pathogenesis of microbiome-driven neoplasms.The Journal of pathology · 2019Review
- Insights into Pathogenic Interactions Among Environment, Host, and Tumor at the Crossroads of Molecular Pathology and Epidemiology.Annual review of pathology · 2019Review
- Smoking and Risk of Colorectal Cancer Sub-Classified by Tumor-Infiltrating T Cells.Journal of the National Cancer Institute · 2019Article
- Etiology of hormone receptor positive breast cancer differs by levels of histologic grade and proliferation.International journal of cancer · 2018Article
- The competing risks Cox model with auxiliary case covariates under weaker missing-at-random cause of failure.Lifetime data analysis · 2018Article
- Characterizing Risk for Cumulative Risk Assessments.Risk analysis : an official publication of the Society for Risk Analysis · 2018Article
- Integrative analysis of exogenous, endogenous, tumour and immune factors for precision medicine.Gut · 2018Review
- Utility of inverse probability weighting in molecular pathological epidemiology.European journal of epidemiology · 2018Article
- A comparison of statistical methods for the study of etiologic heterogeneity.Statistics in medicine · 2017Article
- A Multinomial Regression Approach to Model Outcome Heterogeneity.American journal of epidemiology · 2017Article
- Molecular pathological epidemiology: new developing frontiers of big data science to study etiologies and pathogenesis.Journal of gastroenterology · 2017Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
In interdisciplinary biomedical, epidemiologic, and population research, it is increasingly necessary to consider pathogenesis and inherent heterogeneity of any given health condition and outcome. As the unique disease principle implies, no single biomarker can perfectly define disease subtypes. The complex nature of molecular pathology and biology necessitates biostatistical methodologies to simultaneously analyze multiple biomarkers and subtypes. To analyze and test for heterogeneity hypotheses across subtypes defined by multiple categorical and/or ordinal markers, we developed a meta-regression method that can utilize existing statistical software for mixed-model analysis. This method can be used to assess whether the exposure-subtype associations are different across subtypes defined by 1 marker while controlling for other markers and to evaluate whether the difference in exposure-subtype association across subtypes defined by 1 marker depends on any other markers. To illustrate this method in molecular pathological epidemiology research, we examined the associations between smoking status and colorectal cancer subtypes defined by 3 correlated tumor molecular characteristics (CpG island methylator phenotype, microsatellite instability, and the B-Raf protooncogene, serine/threonine kinase (BRAF), mutation) in the Nurses' Health Study (1980-2010) and the Health Professionals Follow-up Study (1986-2010). This method can be widely useful as molecular diagnostics and genomic technologies become routine in clinical medicine and public health.
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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.