Skip to main content
. Author manuscript; available in PMC: 2018 Mar 22.
Published in final edited form as: Stat Med. 2015 May 21;34(19):2768–2780. doi: 10.1002/sim.6534

Table I.

Data analysis: estimation of two working Cox PH models.

Failure time model
Censoring time model
Covariates Estimate SE p-value Rel-Import Estimate SE p-value Rel-Import
Cox PH model
Age −0.024 0.0170   0.15 −0.02 0.031 0.0078 <0.01 −0.05
Log(PSA) 0.173 0.1267   0.17 0.13 −0.115 0.0536   0.03 0.17
Gleason 0.405 0.1037 <0.001 0.30 0.092 0.0494   0.06 −0.14
T stage 1.355 0.2184 <0.001 1.00 −0.679 0.0849 <0.001 1.00
Total dose −0.111 0.0300 <0.001 −0.08 0.176 0.0141 <0.001 −0.26
Buckley–James estimators
Age 0.024 0.012   0.05 −0.02 −0.011 0.004 <0.01 −0.03
Log(PSA) −0.198 0.090   0.03 0.20 0.015 0.030   0.61 0.05
Gleason −0.360 0.083 <0.001 0.34 −0.066 0.025   0.01 −0.23
T stage −1.062 0.198 <0.001 1.00 0.286 0.047 <0.001 1.00
Total dose 0.050 0.022   0.02 −0.05 −0.073 0.006 <0.001 −0.26

Rel-Import denotes coefficient estimate relative to T stage coefficient.

PH, proportional hazards; PSA, prostate-specific antigen; SE, standard error.