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Table 6 Bayesian Graded Response Model Estimates for Pain

From: Application of a Bayesian graded response model to characterize areas of disagreement between clinician and patient grading of symptomatic adverse events

  α parameter κ parameter
Frequency Severity Interference   1–4 vs. 0 2–4 vs. 0–1 3–4 vs. 0–2 4 vs. 0–3
Patient 5.04 5.69 4.33 Frequency −2.58 0.41 3.99 6.98
     Severity −6.46 1.21 5.48 9.10
     Interference −0.92 1.78 4.25 6.70
Clinic 1 1.88   0.48 2.12 2.69 5.29
Clinic 2 2.31   −0.32 2.06 3.84 5.50
Clinic 3 2.09   −0.38 2.09 4.25 5.94
Clinic 4 1.16   −1.39 1.20 2.34 4.58
Clinic 5 2.38   −0.47 2.12 3.32 5.92
Clinic 6 1.54   −0.54 1.95 3.85 4.95
Clinic 7 1.31   −0.50 2.03 4.10 5.17
Clinic 8 2.02   −0.47 0.57 3.95 5.03
Clinic 9 1.94   −0.24 2.05 3.31 5.04
Clinic 10 1.14   −0.21 1.60 3.30 4.48
Clinic 11 2.23   0.10 1.96 4.83 5.79
Clinic 12 1.92   −0.06 1.62 4.13 5.19
Clinic 13 2.44   0.05 1.65 3.72 4.83
Clinic 14 2.14   −0.12 2.04 4.06 5.66
Clinic 15 1.11   0.26 2.16 2.94 4.20
Clinic 16 0.53   0.75 2.61 3.70 4.82
Clinic 17 1.27   0.28 1.81 4.03 5.62
Clinic 18 1.62   0.76 2.72 3.92 5.49
Clinic 19 1.93   0.18 3.24 5.16 6.08
Clinic 20 1.99   −0.20 2.64 4.52 5.53
Clinic 21 2.88   −1.20 1.42 2.33 4.83
Clinic 22 2.52   0.51 2.78 3.90 4.98
Clinic 23 1.95   0.50 2.35 4.76 5.74
Clinic 24 0.66   −0.86 0.66 2.98 4.23
Clinic 25 1.12   0.61 1.94 3.50 5.11
Clinic 26 1.24   −0.40 1.80 3.34 5.62