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
2019
Immunoepidemiology of Cancer
Ma X, Wang R. Immunoepidemiology of Cancer. 2019, 215-224. DOI: 10.1007/978-3-030-25553-4_13.Peer-Reviewed Original ResearchImmune system functionTypes of cancerImmunological factorsCancer immunotherapyTreatment modalitiesChronic diseasesRadiation therapyEpidemiological studiesDrug AdministrationImmunotherapyInfectious diseasesCancerDiseaseExciting new eraSystem functionChemotherapySurgeryImmunoepidemiologyEtiologyTherapyYearsInfectionAdministrationImportant role