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Table 6 Comparison of performance of multiple regression models

From: Assessing Asthma control in UK primary care: Use of routinely collected prospective observational consultation data to determine appropriateness of a variety of control assessment models

Control Model Pseudo
R-squared
Akaike's Information Criterion Area Under ROC Curve
RCP-3 Q Model 0.1803 46,933 .7924
95% CI 0.7963, 0.7885
Jones Morbidity Index 0.1352 77,811 .7407
95% CI 0.7444, 0.7370
GINA Control 0.0977 61,868 .7135
95% CI 0.7180, 0.7090
GOAL Total Control 0.0843 51,660 .7028
95% CI 0.7079, 0.6969
GOAL Well Controlled 0.0845 65,481 .6970
95% CI 0.7015, 0.6925
PEFR 0.0615 16,602 .7085
95% CI 0.7183, 0.6985
Overuse of SAB 0.0833 82,299 .6942
95% CI 0.6983, 0.6901
BTS Treatment Step 0.0677 78,223 .6711
95% CI 0.6756, 0.6665
Linear Regression R-squared AIC  
RCP-3 Q Expanded Score Model 0.3258 28,616 N/A