Model 1 - Hierarchical logistic regression analysis of Moderate to Severe Persistent Post-surgical Pain 4–6 months (T3) following TKA and THA on clinical and psychological measures at baseline (T1).
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
Note. After removing 2 outliers, this final model correctly predicted 74% of all patients; χ2(6) = 31.696; p<0.001; Nagelkerke R2 = 0.412; OR = odds ratioCI = confidence interval; bold = significant at p≤.05; italics = marginally significant p≤.10.1
Continuous variable, NRS - Numerical Rating Scale (0–10) from BPI-SF: Brief Pain Inventory-Short Form;2
Dichotomic variable: 0 = THA: Total Hip Arthroplasty; 1 = TKA: Total Knee Arthroplasty;a
Continuous variable, HADS-A: Hospital Anxiety and Depression Scale - anxiety subscale;b
Continuous variables, subscales of IPQ-R: Illness Perception Questionnaire Revised.