ArticleAmerican journal of epidemiology2020
Bayesian Pathway Analysis for Complex Interactions.
Article in American journal of epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Genetic variants in tamoxifen metabolism and early treatment discontinuation among premenopausal breast cancer patients.Breast cancer research and treatment · 2025Article
- Environmental Risk Assessment of Trace Metal Pollution: A Statistical Perspective.Environmental geochemistry and health · 2025Review
- The impact of single nucleotide polymorphisms on return-to-work after taxane-based chemotherapy in breast cancer.Cancer chemotherapy and pharmacology · 2023Article
- Single-nucleotide polymorphisms and the effectiveness of taxane-based chemotherapy in premenopausal breast cancer: a population-based cohort study in Denmark.Breast cancer research and treatment · 2022Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Modern epidemiologic studies permit investigation of the complex pathways that mediate effects of social, behavioral, and molecular factors on health outcomes. Conventional analytical approaches struggle with high-dimensional data, leading to high likelihoods of both false-positive and false-negative inferences. Herein, we describe a novel Bayesian pathway analysis approach, the algorithm for learning pathway structure (ALPS), which addresses key limitations in existing approaches to complex data analysis. ALPS uses prior information about pathways in concert with empirical data to identify and quantify complex interactions within networks of factors that mediate an association between an exposure and an outcome. We illustrate ALPS through application to a complex gene-drug interaction analysis in the Predictors of Breast Cancer Recurrence (ProBe CaRe) Study, a Danish cohort study of premenopausal breast cancer patients (2002-2011), for which conventional analyses severely limit the quality of inference.
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Registered trials
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