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. 2011 May 10;3:157–169. doi: 10.2147/CLEP.S17349

Table 4.

Results of the combined model for modeling both excess and relative mortality in dialyzed patients

λexcess(se) Effect of the covariate onλexcessPvaluea λrel(se) Effect of the covariate onλrelPvaluea Max log likelihood Effect of the covariate on both componentsPvaluesb
Whole cohort 0.19 (0.01) 2.17 (0.17) −6169
Sex
  Male 0.17 (0.01) 2.11 (0.21) 0.0095 −3788 <0.001
  Female 0.18 (0.01) 0.70 3.15 (0.35) −2369
Age (years)
  <80 0.18 (0.02) 0.001 2.04 (0.44) 0.22 −2500 <0.001
  ≥80 0.28 (0.03) 1.43 (0.25) −2507
First modality of dialysis
  Hemodialysis 0.19 (0.01) 0.90 2.07 (0.18) 0.26 −5347 0.096
  Peritoneal dialysis 0.19 (0.03) 2.61 (0.45) −820
Primary nephropathy
  Hypertensive/vascular 0.17 (0.02) 0.002 1.86 (0.26) 0.077 −2097 <0.001
  Diabetes 0.19 (0.02) 2.99 (0.48) −1498
  Glomerulonephritis 0.11 (0.03) 2.77 (0.67) −409
  Interstitial nephritis/pyelonephritis 0.10 (0.03) 3.32 (0.66) −407
  Tumoral/myeloma/amyloid 0.41 (0.08) 4.60 (1.71) −275
  Miscellaneous/unknown/missing 0.17 (0.02) 2.33 (0.31) −1420

Notes:

a

Log-likelihood ratio test comparing the K λexcess or the K λrel;

b

Log-likelihood ratio test comparing the model with and without each covariate (eg, sex: Chi-squared = −(3788 + 2369) + 6169).