Table 4.
Change in Logistic Regression (LR) coefficients when misclassification errors were modeled as Bayesian priors.
Condition (Yes vs. No) | LR coefficient | LR Bayes small errors | LR Bayes large errors |
---|---|---|---|
Behavior change | 1.75 | 2.56 | 5.4 |
Third party consultation | 0.65 | 0.82 | 1.43 |
Depression | 0.58 | 0.72 | 1.21 |
Possible falls | 0.41 | 0.51 | 0.81 |
GP home visit | 0.40 | 0.42 | 0.67 |
Did not attend | 0.36 | 0.43 | 0.67 |
Stroke | 0.33 | 0.46 | 0.79 |
Cerebrovascular disease | 0.26 | 0.25 | 0.41 |
Receives home care | 0.18 | 0.24 | 0.41 |
Attended emergency room | 0.18 | 0.22 | 0.36 |
Anxiety | 0.18 | 0.18 | 0.32 |
Depressive symptoms | 0.14 | 0.22 | 0.49 |
Constipation | 0.09 | 0.13 | 0.23 |
Lower limb fracture | 0.01 | −0.001 | 0.006 |
Urinary tract infection | −0.02 | 0.03 | 0.06 |
Impaired mobility | −0.03 | −0.003 | 0.05 |
Non-urgent hospital admission | −0.03 | −0.03 | −0.03 |
Social services involvement | −0.13 | −0.21 | −0.41 |
Living in a nursing home | −0.14 | −0.14 | −0.2 |
(Intercept) | −0.72 | −0.82 | −1.16 |