Statistical analysis
fracture
REGRESSION, REGRESSION
The analysis included all patients who completed the questionnaires at 24-month follow-up. Differences between the two casting groups in PRWE score, qDASH score, VAS, 15D, and the effect of fracture in the dominant hand on PRWE were analyzed using t-test. Linear regression was used to estimate adjusted group difference in each outcome variable. The covariates used were age, gender, articular/non-articular fracture, and hand dominance. Regression diagnostics revealed there was an issue with residuals based on the QQ-plot. Therefore, we excluded one major outlier. This improved the explained variance from 4.5% to 9%. There were still concerns about the modeling assumptions. We augmented our adjusted analyses with a cumulative probability model which only assumed monotonicity of dependent variable, meaning it is insensitive to outliers. The predicted values from this model were reported and compared to the unadjusted and adjusted analyses. All analyses were performed with Rstudio 4 (Version 2021.09.1, Boston, US).