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. Author manuscript; available in PMC: 2012 Aug 1.
Published in final edited form as: Anesthesiology. 2011 Aug;115(2):322–333. doi: 10.1097/ALN.0b013e31821d6c81

Table 7.

M-Estimation Regression Models to Predict Anesthesia Chart Time Using Anesthesia Claim Time

Regression
Models		 Model 1:
Claim Time
(min)		 Model 2:
Claim Time +
Hospital
Identifier		 Model 3:
Claim Time +
Surgical
Procedure		 Model 4:
Claim Time +
Hospital
Identifier +
Surgical
Procedure
Intercept −1.21 (N/A) −1.25 (N/A)
Claim Time
(SE)
(CI) 		0.977
(0.0008)
(0.976-0.979)		 0.989
(0.0006)
(0.987-0.990)		 0.979
(0.0009)
(0.978-0.981)		 0.990
(0.0007)
(0.988-0.991)
Claim Time
P value 		< 0.0001 < 0.0001 < 0.0001 < 0.0001
N
Model R2 		14,369
0.89		 14,369
0.90		 14,369
0.89		 14,369
0.90
Median Absolute
Error 		4.33 2.80 4.32 2.79
P-Value (Wald
test) vs. Model 1 		< 0.0001 < 0.0001 < 0.0001