response: (chd2=='1')
covariates: nonhdl hdla bmi bpm dsmoker hisdiab1
SNP: MIA3_MG_454
Call:
coxph(formula = y[notmissing] ~ allele[notmissing] + wz[notmissing,
selectedcovariates] + wrua2[notmissing] + strata(wsex[notmissing]) +
cluster(wdata$id[notmissing]), weights = weight[notmissing],
robust = TRUE)
n=2344 (43 observations deleted due to missingness)
coef exp(coef) se(coef) robust se
allele[notmissing] -0.20015 0.819 0.1162 0.12628
wz[notmissing, selectedcovariates]1 0.09927 1.104 0.0477 0.05274
wz[notmissing, selectedcovariates]2 -0.73504 0.479 0.2001 0.23608
wz[notmissing, selectedcovariates]3 0.00413 1.004 0.0140 0.01670
wz[notmissing, selectedcovariates]4 0.01621 1.016 0.0041 0.00453
wz[notmissing, selectedcovariates]5 0.76994 2.160 0.1279 0.15058
wz[notmissing, selectedcovariates]6 0.87688 2.403 0.1747 0.21190
wrua2[notmissing]FRA -1.28478 0.277 0.4037 0.43381
wrua2[notmissing]SWE -0.48571 0.615 0.2713 0.29348
wrua2[notmissing]UNK -0.19243 0.825 0.3227 0.35910
z p
allele[notmissing] -1.585 1.1e-01
wz[notmissing, selectedcovariates]1 1.882 6.0e-02
wz[notmissing, selectedcovariates]2 -3.114 1.8e-03
wz[notmissing, selectedcovariates]3 0.248 8.0e-01
wz[notmissing, selectedcovariates]4 3.579 3.4e-04
wz[notmissing, selectedcovariates]5 5.113 3.2e-07
wz[notmissing, selectedcovariates]6 4.138 3.5e-05
wrua2[notmissing]FRA -2.962 3.1e-03
wrua2[notmissing]SWE -1.655 9.8e-02
wrua2[notmissing]UNK -0.536 5.9e-01
exp(coef) exp(-coef) lower .95 upper .95
allele[notmissing] 0.819 1.222 0.639 1.049
wz[notmissing, selectedcovariates]1 1.104 0.905 0.996 1.225
wz[notmissing, selectedcovariates]2 0.479 2.086 0.302 0.762
wz[notmissing, selectedcovariates]3 1.004 0.996 0.972 1.038
wz[notmissing, selectedcovariates]4 1.016 0.984 1.007 1.025
wz[notmissing, selectedcovariates]5 2.160 0.463 1.608 2.901
wz[notmissing, selectedcovariates]6 2.403 0.416 1.587 3.641
wrua2[notmissing]FRA 0.277 3.614 0.118 0.648
wrua2[notmissing]SWE 0.615 1.625 0.346 1.094
wrua2[notmissing]UNK 0.825 1.212 0.408 1.668
Rsquare= 0.053 (max possible= 0.876 )
Likelihood ratio test= 128 on 10 df, p=0
Wald test = 91.6 on 10 df, p=2.55e-15
Score (logrank) test = 128 on 10 df, p=0, Robust = 79.7 p=5.65e-13
(Note: the likelihood ratio and score tests assume independence of
observations within a cluster, the Wald and robust score tests do not).
Updated on 2008-06-04