Multivariable regression: understanding one of medicine’s most fundamental statistical tools

Multivariable regression is a fundamental tool that drives observational research in orthopaedic surgery. However, regression analyses are not always implemented correctly. This study presents a basic overview of regression analyses and reviews frequent points of confusion. Topics include linear, lo...

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Veröffentlicht in:Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA sports traumatology, arthroscopy : official journal of the ESSKA, 2023, Vol.31 (1), p.7-11
Hauptverfasser: Varady, Nathan H., Pareek, Ayoosh, Eckhardt, Christina M., Williams, Riley J., Madjarova, Sophia J., Ollivier, Matthieu, Martin, R. Kyle, Karlsson, Jón, Nwachukwu, Benedict U.
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Sprache:eng
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Zusammenfassung:Multivariable regression is a fundamental tool that drives observational research in orthopaedic surgery. However, regression analyses are not always implemented correctly. This study presents a basic overview of regression analyses and reviews frequent points of confusion. Topics include linear, logistic, and time-to-event regressions, causal inference, confounders, overfitting, missing data, multicollinearity, interactions, and key differences between multivariable versus multivariate regression. The goal is to provide clarity regarding the use and interpretation of multivariable analyses for those attempting to increase their statistical literacy in orthopaedic research.
ISSN:0942-2056
1433-7347
DOI:10.1007/s00167-022-07215-9