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Table 4 Estimates of direct effects in Parsimonious model

From: Renal function, calcium regulation, and time to hospitalization of patients with chronic kidney disease

Response var.→

z-eGFR

z-albumin

z-calcidiol

z-Ca++

z-PTH

z-PO4

ln(Y)

Total effects

Explanatory var.↓

       

onln(Y)

Age

  

0.017

    

0.00043

   

0.026

     

z-eGFR

   

0.088

-0.198

-0.213

 

0.0549

    

0.016

0.0012

<0.0001

  

z-albuminl

   

-0.355

-0.559

-0.214

 

0.0774

    

<0.0001

<0.0001

0.0059

  

z-calcidiol

   

0.105

-0.189

  

0.0255

    

0.0015

0.0008

   

z-Ca++

    

-0.37

  

0.0414

     

0.0002

  

0.011

z-PTH

      

-0.112

-0.112

       

0.011

0.011

z-PO4

      

-0.137

-0.137

       

0.016

0.016

Intercept

-8.6

-0.49

-0.96

2.12

0.715

-1.2

7.49

 
 

<0.001

<0.0001

0.08

<0.0001

0.2

0.0032

<0.0001

 

MSE

2.6

0.96

3.15

0.95

2.5

1.54

1.27∗

 

R 2

0

0

0.017

0.14

0.23

0.11

0.078∗∗

 
  1. Estimates of direct effects (top value in each cell) and the p-values (bottom value) for the variables in the parsimonious model, estimates of MSE and r-squares. The calculated total effects are given in the last column. (∗) The value of σ ̂ 2 σ ε 2 is given instead of MSE. (∗∗) The value of R ̂ PM 2 is given for the explained variation measure instead of r-square.
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BMC Nephrology

ISSN: 1471-2369

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