2024
Using a Bayesian analytic approach to identify county-level ecological factors associated with survival among individuals with early-onset colorectal cancer
Siddique S, Baum L, Deziel N, Kelly J, Warren J, Ma X. Using a Bayesian analytic approach to identify county-level ecological factors associated with survival among individuals with early-onset colorectal cancer. PLOS ONE 2024, 19: e0311540. PMID: 39471191, PMCID: PMC11521299, DOI: 10.1371/journal.pone.0311540.Peer-Reviewed Original ResearchConceptsAge-of-onset colorectal cancerEarly-onset colorectal cancerEnd Results Program dataCenters for Disease Control and Prevention dataCounty-level factorsColorectal cancerHealth risk behaviorsIdentified principal componentsOdds of survivalPreventive servicesSurvival disparitiesLinear mixed modelsEOCRCChronic diseasesPreventive factorsUS countiesSalt Lake CountyCA residentsRisk behaviorsUnited StatesProgram dataCounty-levelOlder ageBayesian analytical approachYounger age
2015
Polycyclic aromatic hydrocarbons: determinants of residential carpet dust levels and risk of non-Hodgkin lymphoma
DellaValle CT, Deziel NC, Jones RR, Colt JS, De Roos AJ, Cerhan JR, Cozen W, Severson RK, Flory AR, Morton LM, Ward MH. Polycyclic aromatic hydrocarbons: determinants of residential carpet dust levels and risk of non-Hodgkin lymphoma. Cancer Causes & Control 2015, 27: 1-13. PMID: 26573845, PMCID: PMC5358542, DOI: 10.1007/s10552-015-0660-y.Peer-Reviewed Original ResearchConceptsNon-Hodgkin lymphomaT-cell lymphomaOdds ratioCell lymphomaRisk of NHLNational Cancer Institute's Surveillance EpidemiologyMulticenter case-control studyB-cell lymphoma subtypesUnconditional logistic regressionCase-control studyConfidence intervalsHighest tertileLowest tertileHistologic typeSurveillance EpidemiologyNHL overallLymphoma subtypesWhite raceElevated riskSecondary aimConclusionOur resultsLymphomaOlder ageTertileLogistic regression