2025
Changes in incarceration and tuberculosis notifications from prisons during the COVID-19 pandemic in Europe and the Americas: a time-series analysis of national surveillance data
Zheng A, Faust L, Harries A, Avedillo P, Akodu M, Galvan M, Barreto-Duarte B, Andrade B, Ugarte-Gil C, Garcia-Basteiro A, Espinal M, Warren J, Martinez L. Changes in incarceration and tuberculosis notifications from prisons during the COVID-19 pandemic in Europe and the Americas: a time-series analysis of national surveillance data. The Lancet Public Health 2025, 10: e285-e294. PMID: 40175010, PMCID: PMC11962358, DOI: 10.1016/s2468-2667(24)00325-6.Peer-Reviewed Original ResearchConceptsPrison populationCOVID-19 pandemicPrisonIncarcerationTuberculosis notificationsPan American Health OrganizationNotificationCOVID-19WHO EuropeEuropePandemic yearCountriesAffected peoplePandemicTime series analysisAmericaWorld regionsAnalysis of national surveillance dataHealth OrganizationCOVID-19 pandemic yearPeopleUtilisation of nursing home care before and after the 2015 Dutch national reform: an interrupted time series analysis
Vroomen J, Wammes J, Wouterse B, Smalbrugge M, Murphy T. Utilisation of nursing home care before and after the 2015 Dutch national reform: an interrupted time series analysis. Age And Ageing 2025, 54: afaf018. PMID: 39902847, PMCID: PMC11791781, DOI: 10.1093/ageing/afaf018.Peer-Reviewed Original ResearchConceptsInterrupted time series analysisLong-term careNH admissionNursing homesOlder adultsAdmission ratesMortality riskAdmitted older adultsNursing home careIncreased mortality riskCox proportional hazards modelsAdmitted residentsAging-in-placePopulation-level studiesProportional hazards modelHome carePromote aging-in-placeStatistics NetherlandsTime series analysisHazards modelPopulation dataCareAdultsFollow-upAdmission
2024
HPR224 Utilization of Long-Term Care Before and After the 2015 Dutch National Reform: An Interrupted Time Series Analysis
Vroomen J, Wammes J, Wouterse B, Smalbrugge M, Murphy T. HPR224 Utilization of Long-Term Care Before and After the 2015 Dutch National Reform: An Interrupted Time Series Analysis. Value In Health 2024, 27: s317. DOI: 10.1016/j.jval.2024.10.1648.Peer-Reviewed Original ResearchRainfall events and daily mortality across 645 global locations: two stage time series analysis
He C, Breitner-Busch S, Huber V, Chen K, Zhang S, Gasparrini A, Bell M, Kan H, Royé D, Armstrong B, Schwartz J, Sera F, Vicedo-Cabrera A, Honda Y, Jaakkola J, Ryti N, Kyselý J, Guo Y, Tong S, de'Donato F, Michelozzi P, Coelho M, Saldiva P, Lavigne E, Orru H, Indermitte E, Pascal M, Goodman P, Zeka A, Kim Y, Diaz M, Arellano E, Overcenco A, Klompmaker J, Rao S, Palomares A, Carrasco G, Seposo X, Pereira da Silva S, Madureira J, Holobaca I, Scovronick N, Acquaotta F, Kim H, Lee W, Hashizume M, Tobias A, Íñiguez C, Forsberg B, Ragettli M, Guo Y, Pan S, Osorio S, Li S, Zanobetti A, Dang T, Van Dung D, Schneider A. Rainfall events and daily mortality across 645 global locations: two stage time series analysis. The BMJ 2024, 387: e080944. PMID: 39384295, PMCID: PMC12036573, DOI: 10.1136/bmj-2024-080944.Peer-Reviewed Original ResearchConceptsYear return periodReturn periodsRainfall eventsVegetation coverageCharacteristics of daily rainfallDaily rainfall intensityDaily rainfallRainfall intensityRespiratory mortalityClimate typesRainfallLocal climateIntensity indexGlobal scaleTime series analysisMortality riskRelative riskAssociated with respiratory mortalityDaily mortalityDaily mortality dataClimateEstimate mortality riskIncreased relative riskSeries analysisGlobal locationsAdoption of a gastroenterology hospitalist model and the impact on inpatient endoscopic practice volume: a controlled interrupted time-series analysis
Shung D, Li D, You K, Hung K, Laine L, Hughes M. Adoption of a gastroenterology hospitalist model and the impact on inpatient endoscopic practice volume: a controlled interrupted time-series analysis. IGIE 2024, 3: 329-332.e2. DOI: 10.1016/j.igie.2024.04.008.Peer-Reviewed Original ResearchControlled interrupted time series analysisHospitalist modelInterrupted time series analysisHigh-acuity hospitalAcademic health systemEndoscopy capacityInpatient coverageOutpatient providersProvider familiarityOutpatient careHealth systemWeekly volumeEndoscopy volumeHospital systemPractice volumeTime series analysisProcedure volumeGI patientsHospitalAcademic centersProvidersGastroenterologySeries analysisPotential benefitsEndoscopic proceduresAssessing the Progress toward a Water-Efficient Economy in the United States from 1985 to 2015
Du Y, Wang R, Zimmerman J. Assessing the Progress toward a Water-Efficient Economy in the United States from 1985 to 2015. Environmental Science And Technology 2024, 58: 8696-8708. PMID: 38717867, DOI: 10.1021/acs.est.3c09219.Peer-Reviewed Original ResearchConceptsAgricultural water use efficiencyWater use efficiencySustainable Development Goal 6Water priceEconomic growthTime series analysisUnited Nations Sustainable Development Goal 6Economic dataEquitable developmentAffluent statesWater withdrawalEffective water planningUS statesWater planningLocal communitiesWater utilitiesSeries analysisUS countiesGoal 6Increasing industrializationUse concernsUnited StatesNational trendsPriceCommunityImproving Age Prediction: Utilizing LSTM-Based Dynamic Forecasting For Data Augmentation in Multivariate Time Series Analysis
Gao Y, Ellis C, Calhoun V, Miller R. Improving Age Prediction: Utilizing LSTM-Based Dynamic Forecasting For Data Augmentation in Multivariate Time Series Analysis. 2024, 00: 125-128. DOI: 10.1109/ssiai59505.2024.10508611.Peer-Reviewed Original ResearchLong short-term memoryDeep learning modelsData augmentationPerformance deep learning modelsLearning modelsMultivariate time series dataAge prediction taskShort-term memoryPrediction taskAugmented datasetDynamical forecastsComponent networksMultivariate time series analysisDatasetNeuroimaging datasetsRobust solutionTime series dataOriginal dataValidation frameworkTime series analysisSeries dataNetworkNeuroimaging fieldDataModel performanceHow to Use Quasi-Experimental Methods in Cardiovascular Research: A Review of Current Practice
Carter A, Jayawardana S, Costa-Font J, Nasir K, Krumholz H, Mossialos E. How to Use Quasi-Experimental Methods in Cardiovascular Research: A Review of Current Practice. Circulation Cardiovascular Quality And Outcomes 2024, 17: e010078. PMID: 38362765, DOI: 10.1161/circoutcomes.123.010078.Peer-Reviewed Original ResearchConceptsRandomized Controlled TrialsDecision aidJoanna Briggs Institute checklistControlled TrialsQuasi-experimental methodObservational studyInterrupted time series analysisQuasi-experimental studyDifference-in-differences analysisEstimate causal relationshipsSystematic search strategyInstrumental variable analysisQuality appraisalInstitute checklistInclusion criteriaGraphical decision aidReview of current practicesCurrent practicesRandom assignmentSearch strategyHigh-impact articlesVariability analysisTime series analysisCardiovascular researchAIDS
2023
Nationwide projections of heat- and cold-related mortality impacts under various climate change and population development scenarios in Switzerland
de Schrijver E, Sivaraj S, Raible C, Franco O, Chen K, Vicedo-Cabrera A. Nationwide projections of heat- and cold-related mortality impacts under various climate change and population development scenarios in Switzerland. Environmental Research Letters 2023, 18: 094010. PMID: 38854588, PMCID: PMC7616072, DOI: 10.1088/1748-9326/ace7e1.Peer-Reviewed Original ResearchClimate changeCold-related mortalityTemperature dataPopulation developmentDevelopment scenariosMortality rate projectionsScenarios of climate changeScenarios of global warmingProgressive warmingWarming targetsHeat-related mortalityWarming scenariosMortality impactRCP8.5/SSP5Combination of emissionGlobal warmingWarmingTime series analysisClimateMortality trendsTemporal patternsCold temperaturesBaseline periodSeries analysisProject heatingThe mortality burden of extreme heat in Connecticut: A time series analysis
Goddard E, Lin C, Ma Y, Chen K. The mortality burden of extreme heat in Connecticut: A time series analysis. PLOS Climate 2023, 2: e0000164. DOI: 10.1371/journal.pclm.0000164.Peer-Reviewed Original ResearchMortality burdenGlobal Burden of Disease 2019 studyClimate changeHealth impact estimatesStatistically significant positive associationTemperature percentileQuasi-Poisson regressionSignificant positive associationAll-Cause MortalityNegative health effectsTime series analysisLong-term trendsGlobal burdenHeat-related mortalityRelative riskEpidemiological evidenceGeneralized linear modelClimate change planningSeasonal deathsHealth impactsPublic healthPositive associationRegional policy decisionsWarm seasonHealthTemporal variation in the association between temperature and cause-specific mortality in 15 German cities
Rai M, Breitner S, Huber V, Zhang S, Peters A, Schneider A. Temporal variation in the association between temperature and cause-specific mortality in 15 German cities. Environmental Research 2023, 229: 115668. PMID: 36958378, DOI: 10.1016/j.envres.2023.115668.Peer-Reviewed Original ResearchConceptsCVD mortalityNon-accidentalRelative riskMortality riskAge- and sex-stratified analysesMultivariate meta-analytic modelsCause-specific mortalitySex-stratified analysesAge groupsTemperature-mortality associationsRD mortalityYounger age groupsOlder age groupsMeta-analytic modelCold-relatedStudy periodRD deathsMortalityAssociationRiskTemperature percentileHeat-related risksCVDGerman citiesTime series analysis
2021
Design and Implementation of an Agitation Code Response Team in the Emergency Department
Wong AH, Ray JM, Cramer LD, Brashear TK, Eixenberger C, McVaney C, Haggan J, Sevilla M, Costa DS, Parwani V, Ulrich A, Dziura JD, Bernstein SL, Venkatesh AK. Design and Implementation of an Agitation Code Response Team in the Emergency Department. Annals Of Emergency Medicine 2021, 79: 453-464. PMID: 34863528, PMCID: PMC9038629, DOI: 10.1016/j.annemergmed.2021.10.013.Peer-Reviewed Original ResearchConceptsResponse team interventionPhysical restraint useInterrupted time series analysisRestraint useEmergency departmentTeam interventionRates of physical restraint useTeam-based interventionAdministrative supportQuality improvement studyResponse teamBehavioral health systemManagement of agitated patientsInterprofessional collaborationRestraint ordersExcessive psychomotor activityRestraint ratesHealth systemED visitsImprovement studyPhysical restraintCompare trendsPrimary outcomeTime series analysisAgitated patients
2017
Trends in readmission rates for safety net hospitals and non-safety net hospitals in the era of the US Hospital Readmission Reduction Program: a retrospective time series analysis using Medicare administrative claims data from 2008 to 2015
Salerno AM, Horwitz LI, Kwon JY, Herrin J, Grady JN, Lin Z, Ross JS, Bernheim SM. Trends in readmission rates for safety net hospitals and non-safety net hospitals in the era of the US Hospital Readmission Reduction Program: a retrospective time series analysis using Medicare administrative claims data from 2008 to 2015. BMJ Open 2017, 7: e016149. PMID: 28710221, PMCID: PMC5541519, DOI: 10.1136/bmjopen-2017-016149.Peer-Reviewed Original ResearchConceptsHospital Readmissions Reduction ProgramNon-safety net hospitalsSafety-net hospitalMedicare administrative claims dataReadmission ratesAdministrative claims dataNet hospitalReadmissions Reduction ProgramRetrospective time series analysisSafety netClaims dataTime series analysisSocioeconomic statusUnplanned readmission ratePrincipal discharge diagnosisLow socioeconomic statusInterrupted time seriesReduction programsFive-digit zip codeSeries analysisHRRP penaltiesIndex admissionHospital proportionDischarge diagnosisService patients
2016
A new variance component score test for testing distributed lag functions with applications in time series analysis
Chen Y, Mukherjee B. A new variance component score test for testing distributed lag functions with applications in time series analysis. Statistics & Probability Letters 2016, 123: 122-127. PMID: 29200542, PMCID: PMC5703603, DOI: 10.1016/j.spl.2016.12.003.Peer-Reviewed Original Research
2015
Multivariate time-series analysis and diffusion maps
Lian W, Talmon R, Zaveri H, Carin L, Coifman R. Multivariate time-series analysis and diffusion maps. Signal Processing 2015, 116: 13-28. DOI: 10.1016/j.sigpro.2015.04.003.Peer-Reviewed Original ResearchStatistical manifoldMultivariate time series analysisNonlinear dimensionality reduction frameworkDiffusion mapsEfficient parameter estimationPairwise geodesic distancesTime-evolving distributionsFinancial data analysisBayesian generative modelKullback-Leibler divergenceNonstationary time seriesDimensionality reduction frameworkEfficient approximationParameter estimationLow-dimensional representationAffinity kernelsParametric distributionTime series analysisDimensionality reduction methodologyGeodesic distanceLocal statisticsReduction frameworkReduction methodologyManifoldDimensionality reduction
2013
Bayesian Analysis of Time-Series Data under Case-Crossover Designs: Posterior Equivalence and Inference
Li S, Mukherjee B, Batterman S, Ghosh M. Bayesian Analysis of Time-Series Data under Case-Crossover Designs: Posterior Equivalence and Inference. Biometrics 2013, 69: 925-936. PMID: 24289144, PMCID: PMC4108592, DOI: 10.1111/biom.12102.Peer-Reviewed Original ResearchConceptsSemi-parametric Bayesian approachLikelihood-based approachRandom nuisance parametersTime series analysisFrequentist literatureNuisance parametersDirichlet processInferential issuesConditional likelihoodPosterior distributionRisk functionTime seriesBayesian workFrequentist approachCase-crossover designSimulation studyRestrictive assumptionsBayesian approachTime series dataLikelihood formulationBayesian methodsEquivalent resultsBayesian analysisCase-crossoverBayesian frameworkEmpirical intrinsic geometry for nonlinear modeling and time series filtering
Talmon R, Coifman RR. Empirical intrinsic geometry for nonlinear modeling and time series filtering. Proceedings Of The National Academy Of Sciences Of The United States Of America 2013, 110: 12535-12540. PMID: 23847205, PMCID: PMC3732962, DOI: 10.1073/pnas.1307298110.Peer-Reviewed Original ResearchIntrinsic geometryNon-Gaussian tracking problemsHigh-dimensional time seriesNonlinear filtering frameworkTime series filteringInformation geometryStochastic settingParametric manifoldTracking problemStatistical modelBayesian approachNonlinear modelingEmpirical distributionFiltering frameworkEmpirical dynamicsInstrumental modalitiesInferred modelGeometryTime seriesTime series analysisDifferent observationsReal signalsSeries analysisDynamicsAnalysis tools
2011
Bayesian Time-Series Analysis of a Repeated-Measures Poisson Outcome With Excess Zeroes
Murphy TE, Van Ness PH, Araujo KL, Pisani MA. Bayesian Time-Series Analysis of a Repeated-Measures Poisson Outcome With Excess Zeroes. American Journal Of Epidemiology 2011, 174: 1230-1237. PMID: 22025357, PMCID: PMC3254157, DOI: 10.1093/aje/kwr252.Peer-Reviewed Original ResearchConceptsPosterior predictive simulationsExcess zerosBayesian modelBayesian time series analysisPredictive simulationsHierarchical Bayesian modelPoisson outcomesPosterior distributionTime series analysisBayesian frameworkRelated resultsStatistical factorsBayesian analysisRandom effects Poisson modelFrequentistZerosPoisson modelSmall samplesExcessive numberAutocorrelationSimulationsTime series techniquesModelPeriodicity
2004
Time-Series Studies of Particulate Matter
Bell M, Samet J, Dominici F. Time-Series Studies of Particulate Matter. Annual Review Of Public Health 2004, 25: 247-280. PMID: 15015920, DOI: 10.1146/annurev.publhealth.25.102802.124329.Peer-Reviewed Original Research
2002
Fractal characterization of complexity in temporal physiological signals
Eke A, Herman P, Kocsis L, Kozak L. Fractal characterization of complexity in temporal physiological signals. Physiological Measurement 2002, 23: r1-r38. PMID: 11876246, DOI: 10.1088/0967-3334/23/1/201.Peer-Reviewed Original ResearchConceptsFractal time series analysisFractional Brownian motionFractional Gaussian noiseMathematical formalismFractal estimatesTime series analysisBrownian motionNumerical experimentsSeries analysisFractal geometryFractal analysisScale invarianceGaussian noiseFractal toolsFractal structurePower-law scaling relationshipSignal classesFundamental propertiesMain applicationsFractal dimensionEssential featuresFractal characterizationSignal classificationFormalismModel
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