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Table 5 Incremental linear robust models highlighting potential omitted variable bias

From: Is the timing of radiological intervention and treatment day associated with economic outcomes in DRG-financed health care systems: a case study

 

(1) Basic model (Omitted variable bias)

(2) Basic model

(3) Extended model

(4) Model incl. patient confounding

(5) Model incl. all confounders

Constant

0.095

0.084

0.563

0.647

0.675

 

(0.008)

(0.008)

(0.011)

(0.024)

(0.049)

Basic model weekends

     

 Admission WE

−0.053

−0.063

−0.066

−0.064

−0.041·

 

(0.025)

(0.025)

(0.021)

(0.021)

(0.021)

 Scanning WE

−0.147

0.011

0.061

0.061

0.051

 

(0.032)

(0.028)

(0.023)

(0.023)

(0.023)

 Discharge WE

0.160

0.167

0.035

0.033·

0.015

 

(0.020)

(0.021)

(0.017)

(0.017)

(0.017)

 Treatment WE

−0.104

0.149

0.086

0.087

0.079

 

(0.038)

(0.028)

(0.023)

(0.023)

(0.023)

 Interaction WE scan and treatment

0.536

    
 

(0.054)

    

 Number of exams

  

-0.005

−0.005·

0.001

   

(0.003)

(0.003)

(0.003)

 Diff. scan and admission (in days)

  

−0.048

−0.048

−0.049

   

(0.002)

(0.002)

(0.002)

 Diff. treatment and scan (in days)

  

0.004

0.004

0.003·

   

(0.002)

(0.002)

(0.002)

 Diff. dismissal and scan (in days)

  

−0.041

−0.041

−0.039

   

(0.001)

(0.001)

(0.001)

Patient data

     

 Female

   

−0.075

−0.080

    

(0.012)

(0.011)

 Age

   

−0.001

−0.001

    

(0.000)

(0.000)

 Private insurance

   

−0.012

−0.007

    

(0.013)

(0.013)

Clinical data

     

 Deceased

    

0.464

     

(0.032)

 Emergency

    

−0.132

     

(0.013)

 Internal medicine case

    

0.113

     

(0.034)

 Surgical case

    

−0.065·

     

(0.033)

 MRI

    

0.115

     

(0.032)

 CT

    

0.082

     

(0.030)

 X-ray

    

0.091

     

(0.030)

 Complicated radiology case

    

−0.104

     

(0.020)

Adj. R2

0.017

0.009

0.323

0.326

0.355

Num. obs.

11371

11371

11371

11371

11371

  1. p<0.001, p<0.01, p<0.05, · p<0.1 Table indicating heteroskedasticity-consistent robust standard errors and p-values with omittted variable bias by excluding the interaction term