2023
Cardiometabolic disease and obesity patterns differentially predict acute kidney injury after total joint replacement: a retrospective analysis
Leis A, Mathis M, Kheterpal S, Zawistowski M, Mukherjee B, Pace N, O'Reilly-Shah V, Smith J, Karvonen-Gutierrez C. Cardiometabolic disease and obesity patterns differentially predict acute kidney injury after total joint replacement: a retrospective analysis. British Journal Of Anaesthesia 2023, 131: 37-46. PMID: 37188560, PMCID: PMC10308436, DOI: 10.1016/j.bja.2023.04.001.Peer-Reviewed Original ResearchConceptsOdds of acute kidney injuryAcute kidney injuryCardiometabolic diseasesNon-Hispanic blacksGroup of hospitalsKidney injuryCardiometabolic patternTotal joint arthroplasty complicationsObesity statusObesity patternsIncreased oddsDisease co-occurrenceIncreased odds of AKIRetrospective analysisRisk of postoperative acute kidney injuryLatent class analysisLatent classesPostoperative acute kidney injuryRisk of acute kidney injuryRisk factorsDifferential riskTotal joint replacementMetabolic syndromeObesityPostoperative AKI risk
2006
Bayesian modeling for genetic association in case-control studies: accounting for unknown population substructure
Zhang L, Mukherjee B, Ghosh M, Wu R. Bayesian modeling for genetic association in case-control studies: accounting for unknown population substructure. Statistical Modelling 2006, 6: 352-372. DOI: 10.1177/1471082006071841.Peer-Reviewed Original ResearchPopulation substructureCase-control studyGenetic association studiesLog odds ratio parametersOdds ratio parametersAssociation studiesAllele frequenciesGenetic associationParametric Bayesian methodsArgentinean populationBayesian modelCredible intervalsGenetic factorsBayesian methodsStatistical propertiesNumerical integration techniquesPosterior probabilityAssociation modelPopulationAllelesGenesAssociationIntegration techniqueMarkovObesity