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 ResearchMeSH KeywordsAdultAge of OnsetBayes TheoremColorectal NeoplasmsFemaleHumansMaleMiddle AgedPrincipal Component AnalysisRisk FactorsSEER ProgramUnited StatesConceptsAge-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
2011
Comparison of Standard Methods for Assessing Dietary Intake of Benzo[a]pyrene
Deziel NC, Strickland PT, Platz EA, Abubaker S, Buckley TJ. Comparison of Standard Methods for Assessing Dietary Intake of Benzo[a]pyrene. Cancer Epidemiology Biomarkers & Prevention 2011, 20: 962-970. PMID: 21430297, PMCID: PMC4618457, DOI: 10.1158/1055-9965.epi-10-1344.Peer-Reviewed Original ResearchConceptsFood frequency questionnaireBaP intakeExposure assessment methodsDiet diariesMeat intakeResidue databaseFrequency questionnaireStrength of associationDietary intakeNondietary exposureConsiderable unexplained variabilityBiomarker measurementsIntakeLimited correlationSpearman correlationCancerInconsistent presenceBaselineExposureInterpersonal variabilityStandard methodsDiaryNonsmokersUnexplained variabilityAssessment methods