Search results for "Risk models"

showing 3 items of 3 documents

Joint Estimation of Relative Risk for Dengue and Zika Infections, Colombia, 2015–2016

2019

We jointly estimated relative risk for dengue and Zika virus disease (Zika) in Colombia, establishing the spatial association between them at the department and city levels for October 2015–December 2016. Cases of dengue and Zika were allocated to the 87 municipalities of 1 department and the 293 census sections of 1 city in Colombia. We fitted 8 hierarchical Bayesian Poisson joint models of relative risk for dengue and Zika, including area- and disease-specific random effects accounting for several spatial patterns of disease risk (clustered or uncorrelated heterogeneity) within and between both diseases. Most of the dengue and Zika high-risk municipalities varied in their risk distributio…

MaleZika virus diseaseEpidemiologylcsh:MedicineDengue virusmedicine.disease_causeZika virusZika virusDengue feverDengueconditional auto-regressive prior0302 clinical medicineRisk FactorsPrevalence030212 general & internal medicineGeography MedicalChildBayesian modelsbiologyZika Virus InfectionMiddle AgedRandom effects modelmultivariate risk modelsInfectious DiseasesGeographyChild PreschoolFemaleAdultMicrobiology (medical)medicine.medical_specialtyAdolescent030231 tropical medicineColombiaRisk mapsHistory 21st CenturyRisk Assessmentlcsh:Infectious and parasitic diseasesYoung Adult03 medical and health sciencesAge DistributionEnvironmental healthmedicineHumanslcsh:RC109-216Estimationdengue virusResearchPublic healthlcsh:RInfant NewbornInfantBayes Theorembiology.organism_classificationmedicine.diseaseRelative riskEmerging Infectious Diseases
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Frequentist and Bayesian approaches for a joint model for prostate cancer risk and longitudinal prostate-specific antigen data

2015

The paper describes the use of frequentist and Bayesian shared-parameter joint models of longitudinal measurements of prostate-specific antigen (PSA) and the risk of prostate cancer (PCa). The motivating dataset corresponds to the screening arm of the Spanish branch of the European Randomized Screening for Prostate Cancer study. The results show that PSA is highly associated with the risk of being diagnosed with PCa and that there is an age-varying effect of PSA on PCa risk. Both the frequentist and Bayesian paradigms produced very close parameter estimates and subsequent 95% confidence and credibility intervals. Dynamic estimations of disease-free probabilities obtained using Bayesian infe…

Statistics and ProbabilityPREDICTIONBayesian probabilityurologic and male genital diseasesBayesian inferenceGeneralized linear mixed modelPSAProstate cancerLATENT CLASS MODELSAnàlisi de supervivència (Biometria)Frequentist inference62N01Statisticsprostate cancer screeningSurvival analysis (Biometry)FAILUREMedicineProstate cancer riskTO-EVENT DATAbusiness.industryjoint modelsMORTALITYDISEASE PROGRESSIONmedicine.diseaselinear mixed modelsTIMEProstate-specific antigenProstate cancer screeningshared-parameter models:Matemàtiques i estadística::Estadística matemàtica [Àrees temàtiques de la UPC]62P10SURVIVALStatistics Probability and Uncertaintyrelative risk modelsFOLLOW-UPbusinessJournal of Applied Statistics
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Head-to-head comparison of contemporary heart failure risk scores.

2021

Altres ajuts: acords transformatius de la UAB Aims: Several heart failure (HF) web-based risk scores are currently used in clinical practice. Currently, we lack head-to-head comparison of the accuracy of risk scores. This study aimed to assess correlation and mortality prediction performance of Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC-HF) risk score, which includes clinical variables + medications; Seattle Heart Failure Model (SHFM), which includes clinical variables + treatments + analytes; PARADIGM Risk of Events and Death in the Contemporary Treatment of Heart Failure (PREDICT-HF) and Barcelona Bio-Heart Failure (BCN-Bio-HF) risk calculator, which also include biomarke…

medicine.medical_specialtyCalibration (statistics)Head to headHeart failureSpearman's rank correlation coefficientRisk AssessmentCorrelationRisk FactorsInternal medicineNatriuretic Peptide BrainmedicineRisk modelsHumansOverall performanceMortalityNatriuretic PeptidesHeart FailureFramingham Risk Scorebusiness.industrymedicine.diseasePrognosisRisk predictionPeptide FragmentsClinical PracticeHeart failureCardiology and Cardiovascular MedicinebusinessBiomarkersEuropean journal of heart failureReferences
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