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Table 2 Summary of the linear regression model for variables predicting the operative time of retroperitoneal laparoscopic partial nephrectomy

From: The impact of gender difference on operative time in laparoscopic partial nephrectomy for T1 renal tumor and the utility of retroperitoneal fat thickness as a predictor of operative time

A. Retrospective approach (N = 111)
  Model 1 Model 2 Model 3
Valuable B B SE β P value 95% COI for B B B SE β P value 95% COI for B B B SE β P value 95% COI for B
(Constant) 153.90 5.22     120.09 10.50     88.75 15.10    
Fatty tissue 1.80 0.38 0.41 <0.001 1.06–2.55 1.61 0.36 0.37 <0.001 0.89–2.32 1.11 0.39 0.26 0.005 0.34–1.89
Tumor size       1.51 0.41 0.31 <0.001 0.69–2.33 1.54 0.40 0.31 <0.001 0.75–2.33
Gender            20.60 7.33 0.25 0.006 6.07–35.13
R2     0.175      0.266      0.317  
B. Transperitoneal approach (N = 64)
  Model 1  
Valuable B B SE β P value 95% COI for B
(Constant) 166.14 6.90    
Fatty tissue 1.22 0.44 0.33 0.008 0.34–2.10
R2     0.110  
  1. B Unstandardized coefficients, B SE Standard error of unstandardized coefficients, β Standardized coefficients, R2 Coefficient of determination