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Table 4 Test for multicollinearity

From: Cox proportional hazard-model application: time to cervical cancer screening among women living with HIV in South Africa

Variables

(1)

(2)

(3)

(4)

(5)

(6)

(7)

(8)

(9)

(10)

(11)

(12)

(1) HIV Status

1.000

           

(2) CCS

0.008

1.000

          
 

(0.535)

           

(3) Race

− 0.005

0.175*

1.000

         
 

(0.695)

(0.000)

          

(4) Province

0.008

− 0.141*

− 0.360*

1.000

        
 

(0.537)

(0.000)

(0.000)

         

(5) Area Of Residence

− 0.007

− 0.173*

− 0.329*

0.325*

1.000

       
 

(0.580)

(0.000)

(0.000)

(0.000)

        

(6) Married

− 0.008

0.226*

0.111*

− 0.013

− 0.024

1.000

      
 

(0.515)

(0.000)

(0.000)

(0.306)

(0.059)

       

(7) EducationalAtt ~ t

0.006

0.125*

0.066*

− 0.035*

− 0.190*

− 0.171*

1.000

     
 

(0.640)

(0.000)

(0.000)

(0.006)

(0.000)

(0.000)

      

(8) Employment

0.022

0.183*

0.067*

− 0.015

− 0.119*

0.066*

0.192*

1.000

    
 

(0.091)

(0.000)

(0.000)

(0.257)

(0.000)

(0.000)

(0.000)

     

(9) CigaretteFrequ ~ e

0.003

0.056*

0.297*

− 0.171*

− 0.149*

0.058*

− 0.034*

0.020

1.000

   
 

(0.790)

(0.000)

(0.000)

(0.000)

(0.000)

(0.000)

(0.009)

(0.114)

    

(10) EverConsumedL ~ r

− 0.003

0.065*

0.130*

− 0.115*

− 0.154*

− 0.009

0.103*

0.055*

0.190*

1.000

  
 

(0.800)

(0.000)

(0.000)

(0.000)

(0.000)

(0.472)

(0.000)

(0.000)

(0.000)

   

(11) PerceptionOwn ~ h

− 0.006

− 0.062*

0.062*

0.038*

− 0.073*

− 0.141*

0.297*

0.080*

− 0.026*

0.026*

1.000

 
 

(0.649)

(0.000)

(0.000)

(0.003)

(0.000)

(0.000)

(0.000)

(0.000)

(0.039)

(0.044)

  

(12) Health Insurance

− 0.016

0.208*

0.190*

− 0.077*

− 0.168*

0.105*

0.266*

0.200*

0.009

0.098*

0.095*

1.000

 

(0.210)

(0.000)

(0.000)

(0.000)

(0.000)

(0.000)

(0.000)

(0.000)

(0.491)

(0.000)

(0.000)

 
  1. * p < 0.1, ** p < 0.05, *** p < 0.01
  2. AHR Adjusted Hazards Ratio, CCS Cervical Cancer Screening, CCPCP Cervical Cancer Prevention Control Policy, HPV Human papillomavirus, PLHIV People Living with HIV, SADHS South Africa Demography and Health Survey, UHR Unadjusted Hazards Ratios, WLHIV Women Living with HIV