Search results for "Theorem"

showing 10 items of 1250 documents

Bayesian modeling of the evolution of male height in 18th century Finland from incomplete data.

2012

Abstract Data on army recruits’ height are frequently available and can be used to analyze the economics and welfare of the population in different periods of history. However, such data are not a random sample from the whole population at the time of interest, but instead is skewed since the short men were less likely to be recruited. In statistical terms this means that the data are left-truncated. Although truncation is well-understood in statistics a further complication is that the truncation threshold is not known, may vary from time to time, and auxiliary information on the threshold is not at our disposal. The advantage of the fully Bayesian approach presented here is that both the …

MaleTime FactorsSkew normal distributionEconomics Econometrics and Finance (miscellaneous)Bayesian probabilityPopulationDistribution (economics)Bayesian inferenceHistory 18th Centurysymbols.namesakeBayesian smoothingStatisticsEconometricsHumansTruncation (statistics)educationFinlandMathematicseducation.field_of_studybusiness.industryMarkov chain Monte CarloBayes TheoremBiological EvolutionBody HeightMilitary PersonnelsymbolsbusinessEconomics and human biology
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Prediction of leukocyte counts during paediatric acute lymphoblastic leukaemia maintenance therapy

2019

Maintenance chemotherapy with oral 6-mercaptopurine and methotrexate remains a cornerstone of modern therapy for acute lymphoblastic leukaemia. The dosage and intensity of therapy are based on surrogate markers such as peripheral blood leukocyte and neutrophil counts. Dosage based leukocyte count predictions could provide support for dosage decisions clinicians face trying to find and maintain an appropriate dosage for the individual patient. We present two Bayesian nonlinear state space models for predicting patient leukocyte counts during the maintenance therapy. The models simplify some aspects of previously proposed models but allow for some extra flexibility. Our second model is an ext…

MaleTime seriesAdolescentaikasarjatNeutrophilsDatasets as Topiclcsh:MedicinebiomarkkeritModels BiologicalArticleMaintenance ChemotherapyPaediatric cancerLeukocyte CountSyöpätaudit - CancersAntineoplastic Combined Chemotherapy ProtocolsLeukocytesHumansDrug Dosage CalculationsChildlcsh:Sciencetilastolliset mallitStochastic modellingstokastiset prosessitStochastic ProcessesvalkosolutMercaptopurinebayesilainen menetelmäStatisticslcsh:RInfantennusteetBayes TheoremPrecursor Cell Lymphoblastic Leukemia-LymphomaApplied mathematicsMethotrexateChild Preschoollääkehoitoakuutti lymfaattinen leukemiasyöpätauditFemalelcsh:Q
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Cancer mortality inequalities in urban areas: a Bayesian small area analysis in Spanish cities

2011

incluye "Erratum to: Cancer mortality inequalities in urban areas: a Bayesian small area analysis in Spanish cities" BACKGROUND: Intra-urban inequalities in mortality have been infrequently analysed in European contexts. The aim of the present study was to analyse patterns of cancer mortality and their relationship with socioeconomic deprivation in small areas in 11 Spanish cities. METHODS: It is a cross-sectional ecological design using mortality data (years 1996-2003). Units of analysis were the census tracts. A deprivation index was calculated for each census tract. In order to control the variability in estimating the risk of dying we used Bayesian models. We present the RR of the censu…

MaleUrban PopulationEstudios transversalesCross-sectional studyEspaña:Health Care::Environment and Public Health::Public Health::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Cross-Sectional Studies [Medical Subject Headings]Business Management and Accounting(all)Disparidades en el estado de saludPoblación urbanaHealth informatics:Health Care::Population Characteristics::Population::Urban Population [Medical Subject Headings]NeoplasmsHuman geographyEpidemiologyCàncerUrban areasSocioeconomicsSmall-Area Analysismedia_common:Geographicals::Geographic Locations::Europe::Spain [Medical Subject Headings]Geography:Diseases::Neoplasms [Medical Subject Headings]CensusNeoplasiasGeography:Health Care::Environment and Public Health::Public Health::Epidemiologic Methods::Statistics as Topic::Probability::Bayes Theorem [Medical Subject Headings]lcsh:R858-859.7EnfermeríaFemaleRisk assessmentComputer Science(all)Riskmedicine.medical_specialtyGeneral Computer ScienceInequalitymedia_common.quotation_subjectHealth geographyeducationBayesian probabilityMedi ambientCancer mortalitylcsh:Computer applications to medicine. Medical informaticsRisk AssessmentCàncer -- MortalitatCiutatsMortalitatmedicineConfidence IntervalsTeorema de BayesHumansCancer -- MortalitySocioeconomic statusPovertyPovertybusiness.industryPublic healthResearchPublic Health Environmental and Occupational HealthCorrection:Health Care::Environment and Public Health::Public Health::Epidemiologic Measurements::Demography::Health Status::Health Status Disparities [Medical Subject Headings]Bayes TheoremHealth Status DisparitiesGeneral Business Management and AccountingSocioeconomic deprivationBayesian statistical decisionCross-Sectional StudiesEstadística bayesianaSocioeconomic FactorsSpainInequalitiesbusinessDemographyInternational Journal of Health Geographics
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Spatial analysis of bovine spongiform encephalopathy in Galicia, Spain (2000–2005)

2007

Abstract In Spain, the first bovine spongiform encephalopathy (BSE) case was detected in 2000 in a cow born in the Galicia region (Northwestern Spain). From then and until October 2005, 590 cases were detected, 223 of them in Galicia. In 1994, meat and bone meal (MBM) was banned on ruminant feed and, in 1996, an EU decision mandating an overall change in MBM processing was implemented. This decision was gradually applied in the territory and not enforced before July 1998. The objective of this study was to explore clustering of BSE cases and estimate the standard incidence ratio (SIR) of BSE in Galicia. Our study was based on the BSE cases detected during the surveillance period 2000–2005 i…

MaleVeterinary medicineBovine spongiform encephalopathyPopulationFood ContaminationFood AnimalsRisk FactorsmedicineAnimalseducationeducation.field_of_studyIncidenceBayes Theoremmedicine.diseaseAnimal FeedMeat and bone mealEncephalopathy Bovine SpongiformGeographySpainSpace-Time ClusteringBirth dateCattleFemaleAnimal Science and ZoologySentinel SurveillanceDemographyPreventive Veterinary Medicine
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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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Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis…

2020

BACKGROUND: Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents.

Malebody-mass indexADULTHOODAdolescentspituuskasvuPediatricsBody Mass Index0302 clinical medicineChild DevelopmentnuoretPublic health surveillanceMedicineHealth Status Indicators10. No inequalityChild11 Medical and Health SciencesBody mass indexComputingMilieux_MISCELLANEOUSeducation.field_of_studyVDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin sosialmedisin: 801General MedicineBody mass indexeskansainvälinen vertailu3. Good healthGeographyHealth030220 oncology & carcinogenesisChild PreschoolMedical and Health sciences//purl.org/becyt/ford/3 [https]medicine.medical_specialtySchool-aged adolescentsSocio-culturalelapset (ikäryhmät)Nursing.territoriesravinto//purl.org/becyt/ford/3.3 [https]03 medical and health sciencesSchool ChildrenSDG 3 - Good Health and Well-beingSYSTEMATIC ANALYSISHumansschool-aged children and adolescentsMontenegroeducationScience & TechnologyOmvårdnadHealth sciences Medical and Health sciencesCiências médicas e da saúdeBayes TheoremAnthropometryAdolescent Developmentmedicine.diseaseTRENDSHeight and Body-mass IndexFaculdade de Ciências SociaisUNDERNUTRITIONHeight index trajectoriesHeight body mass index children epidemiologybody-mass index; school-aged children and adolescents; risk factors growthStatureBody mass indexDemographySettore MED/09 - Medicina InternaInternationality[SDV]Life Sciences [q-bio]030204 cardiovascular system & hematologyBody-mass index trajectoriesEpidemiologyMedicine and Health Sciencesrisk factorscountriesEPIDEMIOLOGYheight ; body-mass index ; children ; adolescents ; BMI030212 general & internal medicinepainoindeksiChild development2. Zero hungerMedicine(all)School age childobestity children cardiovascularPopulation Health1. No povertyPediatrikPublic Health Global Health Social Medicine and Epidemiology3142 Public health care science environmental and occupational healthPeer reviewPooled analysis/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingNUTRITIONFemalemedicine.symptompooled analysis/dk/atira/pure/subjectarea/asjc/2700Life Sciences & Biomedicineterveysheight BMI nutrition health children adolescentsAdolescentgrowthPopulationbody-massPopulation basedBody-mass indexBMIYoung AdultMedicine General & InternalchildrenMeta-Analysis as TopicGeneral & Internal Medicineparasitic diseasesWeight gainSchool-aged childrensAge trajectoriesbusiness.industryHeightWeightBody HeightFolkhälsovetenskap global hälsa socialmedicin och epidemiologiMalnutritionONSETCiências da Saúde Ciências médicas e da saúdeSchool-aged childrenVDP::Medical disciplines: 700::Health sciences: 800::Community medicine Social medicine: 801businessWeight gainterveysriskitEstilos de Vida e Impacto na Saúde
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Can bayesian models play a role in dental caries epidemiology? Evidence from an application to the BELCAP data set

2012

Objectives The aim of this study was to show the potential of Bayesian analysis in statistical modelling of dental caries data. Because of the bounded nature of the dmft (DMFT) index, zero-inflated binomial (ZIB) and beta-binomial (ZIBB) models were considered. The effects of incorporating prior information available about the parameters of models were also shown. Methods The data set used in this study was the Belo Horizonte Caries Prevention (BELCAP) study (Bohning et al. (1999)), consisting of five variables collected among 797 Brazilian school children designed to evaluate four programmes for reducing caries. Only the eight primary molar teeth were considered in the data set. A data aug…

Malebounded dataBest fittingBayesian probabilityDeviance (statistics)informative priorDental CariesSettore MED/42 - Igiene Generale E ApplicataSettore MED/01 - Statistica MedicaOverdispersionPrior probabilityStatisticsHumansMedicineChildGeneral DentistryBayesian analysidmftDMF Indexbusiness.industryBelo Horizonte Caries Preventionzero-inflated betabinomialCaries epidemiologyPublic Health Environmental and Occupational HealthBayes TheoremStatistical modelRegressionzero-inflated binomialFemalebusinessAlgorithmsBrazilBayesian analysis; Belo Horizonte Caries Prevention; bounded data; dmft; informative prior; zero-inflated betabinomial; zero-inflated binomialCommunity Dentistry and Oral Epidemiology
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Estimating Exposome Score for Schizophrenia Using Predictive Modeling Approach in Two Independent Samples: The Results From the EUGEI Study

2019

The EUGEI project was supported by the grant agreement HEALTH-F2-2010-241909 from the European Community’s Seventh Framework Programme. The authors are grateful to the patients and their families for participating in the project. They also thank all research personnel involved in the GROUP project, in particular J. van Baaren, E. Veermans, G. Driessen, T. Driesen, E. van’t Hag and J. de Nijs. Bart PF Rutten was funded by a VIDI award number 91718336 from the Netherlands Scientific Organisation.

MalecannabisLogistic regression0302 clinical medicineLasso (statistics)Adverse Childhood ExperiencesStatisticsOdds RatioChild AbusePOLYGENIC RISKpsychosisChildPsychiatrySUMMER BIRTHFramingham Risk Score3. Good healthExposomePsychiatry and Mental healthmachine learningSchizophreniaArea Under CurveFemaleMarijuana UseSeasonsEnvironment And Schizophrenia—Feature Editor: Jim van OsLife Sciences & Biomedicineenvironmentpredictive modelingAdultExposomeDISORDERSrisk scoreYoung Adult03 medical and health sciencesPSYCHOSISmedicineJournal ArticleHumansHearing LossMETAANALYSISDEFICIT SCHIZOPHRENIAENVIRONMENTModels StatisticalScience & Technologychildhood traumaReceiver operating characteristicbusiness.industrySiblingsBullyingBayes TheoremChild Abuse SexualOdds ratiohearing impairmentmedicine.disease030227 psychiatryschizophreniaLogistic ModelsROC CurveSexual abuseCase-Control StudiesbusinessCHILDHOOD ADVERSITIES030217 neurology & neurosurgerywinter birth
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Impact of Nurses’ Intervention in the Prevention of Falls in Hospitalized Patients

2020

Background: Clinical safety is a crucial component of healthcare quality, focused on identifying and avoiding the risks to which patients are exposed. Among the adverse events that occur in a hospital environment, falls have a large impact (1.9&ndash

Malemedicine.medical_specialtyHealth Toxicology and MutagenesisNurseslcsh:MedicineNurse's RoleArticle03 medical and health sciencesPatient safety0302 clinical medicineIntervention (counseling)Acute careHealth caremedicinepatient safetyHumans030212 general & internal medicineAdverse effectaccident preventionnursing education researchAged030504 nursingbusiness.industryIncidence (epidemiology)lcsh:RPublic Health Environmental and Occupational HealthBayes TheoremMiddle AgedFalling (accident)SpainEmergency medicineFemaleaccidental fallsmedicine.symptom0305 other medical sciencebusinessEducational programhospitalizationInternational Journal of Environmental Research and Public Health
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Geo-Epidemiology of Age-Related Macular Degeneration: New Clues Into the Pathogenesis

2015

Abstract PURPOSE: To evaluate the demographic, geographic, and race-related variables that account for geographic variability in prevalence rates of age-related macular degeneration (AMD). DESIGN: Systematic review, meta-regression, and decision-tree analysis. METHODS: A systematic literature review of PubMed, Medline, Web of Science, and Embase databases identified population-based studies on the prevalence of AMD published before May 2014. Only population-based studies that took place in a spatially explicit geographic area that could be geolocalized, and used retinal photographs and standardized grading classifications, were included. Latitude and longitude data (geolocalization) and the…

Malemedicine.medical_specialtygenetic structuresPopulationPrevalenceGlobal HealthPrevalence of AMDLatitude03 medical and health sciencesMacular Degeneration0302 clinical medicineAge DistributionRisk FactorsEpidemiologymedicinePrevalenceHumans030212 general & internal medicineSex DistributioneducationAgedAged 80 and overeducation.field_of_studyGeoepidemiologyGeographySettore MED/30 - Malattie Apparato VisivoDecision TreesRegression analysisBayes TheoremMiddle Agedeye diseasesOphthalmologyGeographySystematic reviewAge-Related Macular DegenerationMeta-analysis030221 ophthalmology & optometryFemalesense organsLongitudeDemography
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