2017
Treatments of Missing Values in Large National Data Affect Conclusions: The Impact of Multiple Imputation on Arthroplasty Research
Ondeck NT, Fu MC, Skrip LA, McLynn RP, Su EP, Grauer JN. Treatments of Missing Values in Large National Data Affect Conclusions: The Impact of Multiple Imputation on Arthroplasty Research. The Journal Of Arthroplasty 2017, 33: 661-667. PMID: 29153865, DOI: 10.1016/j.arth.2017.10.034.Peer-Reviewed Original ResearchConceptsUnicompartmental knee arthroplastyPreoperative albuminAdverse outcomesKnee arthroplastyNational Surgical Quality Improvement ProgramComplete case analysisHematocrit valuesSurgical Quality Improvement ProgramDemographics of patientsPreoperative laboratory valuesMultiple imputationQuality Improvement ProgramArthroplasty researchSelection biasHealthy patientsLaboratory valuesPotential selection biasPatientsJoint surgeonsComplete dataArthroplastyOnly caseNational datasetOutcomesConclusion
2014
Administrative Database Concerns
Golinvaux NS, Bohl DD, Basques BA, Grauer JN. Administrative Database Concerns. Spine 2014, 39: 2019-2023. PMID: 25202941, DOI: 10.1097/brs.0000000000000598.Peer-Reviewed Original ResearchConceptsICD-9 codesCross-sectional studyPreoperative anemiaICD-9 codingPreoperative hematocritNationwide Inpatient SampleNinth Revision codesAcademic medical centerNegative predictive valueAdditional comorbiditiesRevision codesInpatient SampleAdministrative databasesSpine surgerySpinal fusionBACKGROUND DATAMedical CenterInternational ClassificationICD-9Normal rangePatientsPredictive valueLarger sample sizeAnemiaNational database