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