2024
Identifying loci in mobility networks with applications in New Zealand work commutes: a statistical test for identifying extreme stationary distribution values in Markov transition matrices
Kane M, Gilani O, Khusainova E, Urbanek S. Identifying loci in mobility networks with applications in New Zealand work commutes: a statistical test for identifying extreme stationary distribution values in Markov transition matrices. Applied Network Science 2024, 9: 57. DOI: 10.1007/s41109-024-00659-7.Peer-Reviewed Original ResearchAssessing readiness to use electronic health record data for outcome ascertainment in clinical trials – A case study
Esserman D, Greene E, Latham N, Kane M, Lu C, Peduzzi P, Gill T, Ganz D. Assessing readiness to use electronic health record data for outcome ascertainment in clinical trials – A case study. Contemporary Clinical Trials 2024, 142: 107572. PMID: 38740298, DOI: 10.1016/j.cct.2024.107572.Peer-Reviewed Original ResearchElectronic health record dataElectronic health recordsOutcome ascertainmentDevelop Confidence in EldersElectronic health record platformsClinical sitesPrimary care practicesHealth record dataMulti-site trialMulti-site clinical trialCare practicesHealth recordsAssess readinessAcute clinical outcomesHealthcare systemRecord dataClinical trialsReduce injuriesData qualityData comprehensionChecklistStudy dataClinical trial sitesVariable data qualityAscertainmentA Bayesian platform trial design with hybrid control based on multisource exchangeability modelling
Wei W, Blaha O, Esserman D, Zelterman D, Kane M, Liu R, Lin J. A Bayesian platform trial design with hybrid control based on multisource exchangeability modelling. Statistics In Medicine 2024, 43: 2439-2451. PMID: 38594809, PMCID: PMC11325877, DOI: 10.1002/sim.10077.Peer-Reviewed Original ResearchValidation of a Rule-Based ICD-10-CM Algorithm to Detect Fall Injuries in Medicare Data
Ganz D, Esserman D, Latham N, Kane M, Min L, Gill T, Reuben D, Peduzzi P, Greene E. Validation of a Rule-Based ICD-10-CM Algorithm to Detect Fall Injuries in Medicare Data. The Journals Of Gerontology Series A 2024, 79: glae096. PMID: 38566617, PMCID: PMC11167485, DOI: 10.1093/gerona/glae096.Peer-Reviewed Original ResearchFee-for-serviceFall injuriesMedicare AdvantageMedicare dataTrial armsHealthcare systemDevelop Confidence in EldersArea under the receiver operating characteristic curveMedicare fee-for-serviceStratified resultsMedicareReduce injuriesMedical attentionObservational studyStrideReceiver operating characteristic curveCalendar monthMA dataInjuryData sourcesHealthcareArmReference standardTrialsWindow size
2023
A compressed large language model embedding dataset of ICD 10 CM descriptions
Kane M, King C, Esserman D, Latham N, Greene E, Ganz D. A compressed large language model embedding dataset of ICD 10 CM descriptions. BMC Bioinformatics 2023, 24: 482. PMID: 38105180, PMCID: PMC10726612, DOI: 10.1186/s12859-023-05597-2.Peer-Reviewed Original Research
2022
Regression methods for the appearances of extremes in climate data
Yu C, Blaha O, Kane M, Wei W, Esserman D, Zelterman D. Regression methods for the appearances of extremes in climate data. Environmetrics 2022, 33 DOI: 10.1002/env.2764.Peer-Reviewed Original ResearchBayesian local exchangeability design for phase II basket trials
Liu Y, Kane M, Esserman D, Blaha O, Zelterman D, Wei W. Bayesian local exchangeability design for phase II basket trials. Statistics In Medicine 2022, 41: 4367-4384. PMID: 35777367, PMCID: PMC10279458, DOI: 10.1002/sim.9514.Peer-Reviewed Original ResearchBayesian basket trial design with false-discovery rate control.
Zabor EC, Kane MJ, Roychoudhury S, Nie L, Hobbs BP. Bayesian basket trial design with false-discovery rate control. Clinical Trials (London, England) 2022, 19: 297-306. PMID: 35128970, DOI: 10.1177/17407745211073624.Peer-Reviewed Original Research
2021
Circadian Rhythm Analysis Using Wearable Device Data: Novel Penalized Machine Learning Approach
Li X, Kane M, Zhang Y, Sun W, Song Y, Dong S, Lin Q, Zhu Q, Jiang F, Zhao H. Circadian Rhythm Analysis Using Wearable Device Data: Novel Penalized Machine Learning Approach. Journal Of Medical Internet Research 2021, 23: e18403. PMID: 34647895, PMCID: PMC8554674, DOI: 10.2196/18403.Peer-Reviewed Original ResearchConceptsRhythm formationPDMS-2Motor developmentCircadian rhythm analysisPeabody Developmental Motor Scales-Second EditionFisher testChildhood motor developmentEarly childhood motor developmentWearable device dataHealthy infantsRhythm analysisClinical studiesLinear regression analysisGross motorMonthsTime pointsAge 6Bonferroni correctionEarly childhoodRhythm developmentRegression analysisOne dayAssociationDaily rhythmsActiwatch dataUnified exact design with early stopping rules for single arm clinical trials with multiple endpoints
Wei W, Esserman D, Kane M, Zelterman D. Unified exact design with early stopping rules for single arm clinical trials with multiple endpoints. Statistical Methods In Medical Research 2021, 30: 1575-1588. PMID: 34159859, PMCID: PMC8959087, DOI: 10.1177/09622802211013062.Peer-Reviewed Original ResearchThe need to incorporate communities in compartmental models
Kane M, Gilani O. The need to incorporate communities in compartmental models. Statistics And Its Interface 2021, 14: 29-32. DOI: 10.4310/20-sii647.Peer-Reviewed Original ResearchAutomating Reproducible, Collaborative Clinical Trial Document Generation with the listdown Package
Kane M, Jiang X, Urbanek S. Automating Reproducible, Collaborative Clinical Trial Document Generation with the listdown Package. The R Journal 2021, 13: 556. DOI: 10.32614/rj-2021-051.Peer-Reviewed Original Research
2020
Two‐stage randomized trial design for testing treatment, preference, and self‐selection effects for count outcomes
Shi Y, Cameron B, Gu X, Kane M, Peduzzi P, Esserman DA. Two‐stage randomized trial design for testing treatment, preference, and self‐selection effects for count outcomes. Statistics In Medicine 2020, 39: 3653-3683. PMID: 32875582, DOI: 10.1002/sim.8686.Peer-Reviewed Original ResearchConceptsTrial designPatient preferencesPatient-centered treatment strategiesTreatment effectsTraditional clinical trial designClinical trial designEnd of lifeUse of antimicrobialsTreatment strategiesHealthcare providersPatient psychologyTesting treatmentsTwo-stage designOutcomesParticular treatmentTreatmentBinary outcomesCount outcomesTrialspreference : An R Package for Two-Stage Clinical Trial Design Accounting for Patient Preference
Cameron B, Kane M, Esserman D. preference : An R Package for Two-Stage Clinical Trial Design Accounting for Patient Preference. Journal Of Statistical Software 2020, 94 DOI: 10.18637/jss.v094.c02.Peer-Reviewed Original Research
2019
Basket Designs: Statistical Considerations for Oncology Trials.
Kaizer AM, Koopmeiners JS, Kane MJ, Roychoudhury S, Hong DS, Hobbs BP. Basket Designs: Statistical Considerations for Oncology Trials. JCO Precision Oncology 2019, 3: 1-9. PMID: 35100726, DOI: 10.1200/PO.19.00194.Peer-Reviewed Original ResearchDistributions of Human Exposure to Ozone During Commuting Hours in Connecticut Using the Cellular Device Network
Gilani O, Urbanek S, Kane M. Distributions of Human Exposure to Ozone During Commuting Hours in Connecticut Using the Cellular Device Network. Journal Of Agricultural, Biological And Environmental Statistics 2019, 25: 54-73. DOI: 10.1007/s13253-019-00378-y.Peer-Reviewed Original ResearchA two‐stage phase II clinical trial design with nested criteria for early stopping and efficacy
DeVeaux M, Kane M, Wei W, Zelterman D. A two‐stage phase II clinical trial design with nested criteria for early stopping and efficacy. Pharmaceutical Statistics 2019, 18: 700-713. PMID: 31507079, PMCID: PMC6996237, DOI: 10.1002/pst.1965.Peer-Reviewed Original Research
2018
Factors Associated With Cancer Disparities Among Low-, Medium-, and High-Income US Counties
O’Connor J, Sedghi T, Dhodapkar M, Kane MJ, Gross CP. Factors Associated With Cancer Disparities Among Low-, Medium-, and High-Income US Counties. JAMA Network Open 2018, 1: e183146. PMID: 30646225, PMCID: PMC6324449, DOI: 10.1001/jamanetworkopen.2018.3146.Peer-Reviewed Original ResearchConceptsCancer death ratesDeath rateHigh-income countiesCancer disparitiesPossible mediatorsAge-standardized cancer death ratesLow-income countiesCross-sectional studyClinical care factorsIncome-related disparitiesNon-Hispanic blacksHealth risk behaviorsLow-quality careUS countiesPhysical inactivityCare factorsMAIN OUTCOMEFair healthDeath recordsMedian household incomeMedian incomeHealth StatisticsRisk behaviorsHealth policyCounty income levelsClinical Trial Design Using A Stopped Negative Binomial Distribution.
DeVeaux M, Kane MJ, Zelterman D. Clinical Trial Design Using A Stopped Negative Binomial Distribution. Statistics And Its Interface 2018, 11: 699-707. PMID: 30655933, PMCID: PMC6333309, DOI: 10.4310/sii.2018.v11.n4.a13.Peer-Reviewed Original ResearchLung Nodule Detection via Deep Reinforcement Learning
Ali I, Hart GR, Gunabushanam G, Liang Y, Muhammad W, Nartowt B, Kane M, Ma X, Deng J. Lung Nodule Detection via Deep Reinforcement Learning. Frontiers In Oncology 2018, 8: 108. PMID: 29713615, PMCID: PMC5912002, DOI: 10.3389/fonc.2018.00108.Peer-Reviewed Original Research