# Characterization of Weighted Quantile Sum Regression for Highly Correlated Data in a Risk Analysis Setting

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/characterization-of-weighted-quantile-sum-regression-for-highly-correlated-data/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Caroline K. Carrico,Chris Gennings,David C. Wheeler,Pam Factor‐Litvak |
| Citations | 1,357 |
| DOI | 10.1007/s13253-014-0180-3 |
| Fields | Environmental Science,Mathematics |
| Open Access | true |
| OA Status | green |
| OA URL | https://www.ncbi.nlm.nih.gov/pmc/articles/6261506 |
| OpenAlex ID | https://openalex.org/W1999414566 |
| PMID | 30505142 |
| Type | article |
| Year | 2014 |

## Paper authors

- [Chris Gennings](https://scholariq.org/researchers/chris-gennings/)

## Paper primary topic

- [Health, Environment, Cognitive Aging](https://scholariq.org/topics/health-environment-cognitive-aging/)

## Paper topics

- [Health, Environment, Cognitive Aging](https://scholariq.org/topics/health-environment-cognitive-aging/)
- [Statistical Methods and Inference](https://scholariq.org/topics/statistical-methods-and-inference/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.