ArticleScientific reports2022
Adaptive-mixture-categorization (AMC)-based g-computation and its application to trace element mixtures and bladder cancer risk.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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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3 citing papers in PubMed, 3 citations in OpenAlex.
- Associations between a mixture of trace elements and bladder cancer occurrence: A study of possible reverse causation.Environmental epidemiology (Philadelphia, Pa.) · 2026Article
- Residential Segregation and Lung Cancer Risk in African American Adults.JAMA network open · 2025Article
- Preprocessing of natural language process variables using a data-driven method improves the association with suicide risk in a large veterans affairs population.Computers in biology and medicine · 2025Article
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Authors and funding
5 authors at 1 institution in 1 country.
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Abstract
Several new statistical methods have been developed to identify the overall impact of an exposure mixture on health outcomes. Weighted quantile sum (WQS) regression assigns the joint mixture effect weights to indicate the overall association of multiple exposures, and quantile-based g-computation is a generalized version of WQS without the restriction of directional homogeneity. This paper proposes an adaptive-mixture-categorization (AMC)-based g-computation approach that combines g-computation with an optimal exposure categorization search using the F statistic. AMC-based g-computation reduces variance within each category and retains the variance between categories to build more powerful predictors. In a simulation study, the performance of association analysis was improved using categorizing by AMC compared with quantiles. We applied this method to assess the association between a mixture of 12 trace element concentrations measured from toenails and the risk of non-muscle invasive bladder cancer. Our findings suggested that medium-level (116.7-145.5 μg/g) vs. low-level (39.5-116.2 μg/g) of toenail zinc had a statistically significant positive association with bladder cancer risk.
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