Estimate the OR between widowhood and mortality, and provide a 95% CI about this estimate?

Mental Health

Refer to Table 10.27.

Table 13.27 Use of SAS PROC PHREG to perform conditional logistic regression on the breast cancer data

 

Transcribed Image Text:

proc phreg; model cscn*case (0) =tmtl b4a b4b x5 tmtbm bbd b21 b22 b23 dur3 dur4 dur8 curpmh pstpmh sumbmi2a sumbmi3a sumhgt2a sumhgt3a sumalcl sumalc2 sumalc3 famhx lestradl; strata matchid; Convergence status Convergence criterion (GCONV=18-8) satisfied. Model Fit statistics without with criterion Covariates Covariates -2 LOG L 407.529 361.237 407.529 407.237 AIC 407.529 486.808 SBC Testing Global Null Hypothesis: BETA=0 Test chi-square Pr > Chisq DF Likelihood Ratio 46.2917 23 0.0028 43.2239 23 0.0065 Score Wald 36.6232 23 0.0356 Analysis of Maximum Likelihood Estimates Parameter standard Hazard Variable Estimate Chi-square Pr > Chisq Ratio DF Error tmtl 0.00617 0.08160 0.0057 0.9398 1.006 b4a -0.00661 0.08770 0.0057 0.9399 0.993 b4b -0.03637 0.08894 0.1672 0.6826 0.964 x5 -0.0006087 0.02125 0.0008 0.9771 0.999 tmtbm 0.0007292 0.00281 0.0672 0.7954 1.001 bbd -0.07291 3.28786 0.0005 0.9823 0.930 b21 0.09160 0.13953 0.4310 0.5115 1.096 b22 -0.01387 0.05787 0.0575 0.8105 0.986 b23 0.0006671 0.04040 0.0003 0.9868 1.001 The PHREG Procedure Analysis of Maximum Likelihood Estimates Parameter standard Hazard Variable DF Estimate Error Chi-square Pr > Chisq Ratio đur3 -0.01543 0.06945 0.0494 0.8242 0.985 dur4 0.20479 0.11699 3.0640 0.0800 1.227 dur8 0.08135 0.07618 1.1403 0.2856 1.085 curpmh -0.15969 0.38707 0.1702 0.6799 0.852 pstpmh -0.06442 0.25656 0.0630 0.8017 0.938 sumbmi2a 1. -0.00105 0.00129 0.6628 0.4156 0.999 sumbmi3a 0.0009756 0.00215 0.2065 0.6495 1.001 sumhgt2a -0.00325 0.00232 1.9627 0.1612 0.997 sumhgt3a 0.00212 0.00638 0.1105 0.7396 1.002 sumalcl 0.0006666 0.0004087 2.6600 0.1029 1.001 sumalc2 0.00676 0.00380 3.1621 0.0754 1.007 sumalc3 -0.00130 0.0008548 2.3242 0.1274 0.999 famhx 0.60465 0.25490 5.6270 0.0177 1.831 lestradl 0.73944 0.21913 11.3866 0.0007 2.095