Table.
Variables included in model | Sum of Squared Residuals (SSR) | Difference in SSR from base model | Approximate % Variation in Discussions | |
---|---|---|---|---|
Model 1 (base model) | Regression with constant term but no additional predictors (determines total variance) | 343.0 | …. | |
Model 2 | Adding only measured physician characteristics (e.g., age, sex, specialty) | 340.7 | • (343.0 − 340.7) = 2.3 • 2.3 / 343.0 = 0.7% from measured physician characteristics |
0.7% + 3.8% = ~4.5% due to all differences between physicians (measured + unmeasured) |
Model 3 (physician fixed-effects model) | Adding only unmeasured physician characteristics | 326.8 | • (343.0 − 326.8) = 13.2 • 13.2/343.0 = 3.8% from unmeasured physician characteristics |
|
Model 4 | Adding measured physician characteristics and measured patient characteristics | 281.9 | • 343.0 − 281.9 − 2.3 / 343.0 = 17.1% from measured patient characteristics | 17.1% + 78.4% = ~95.5% due to all differences between patients (measured + unmeasured), plus measurement error |
Remainder of variation (from Model 5)* | • (343.0 − 2.3 − 13.2 − 58.8) / 343.0 = 78.4% from unmeasured patient characteristics + error |
(Total variation – component from measured physician characteristics − component from unmeasured physician characteristics − component from measured patient characteristics) = component from unmeasured patient characteristics + error