Dear Sir/Ma,
I Adelabu.A.A, one of the R-users from Nigeria. When am running a coxph command
the below error was generated, and have try some idea but not going through.
kindly please assist:
> cox1 <- coxph(Surv(tmonth,status) ~ sex + age + marital + sumassure, X)
Warning message:
In fitter(X, Y, strats, offset, init, control, weights = weights, :
Ran out of iterations and did not converge
> summary(cox1, conf.int=0.95, exact = TRUE)
Call:
coxph(formula = Surv(tmonth, status) ~ sex + age + marital +
sumassure, data = X)
n= 5958, number of events= 316
coef exp(coef) se(coef) z Pr(>|z|)
sex -1.418e-01 8.678e-01 1.743e-01 -0.814 0.41593
age 1.492e-03 1.001e+00 1.369e-03 1.090 0.27593
marital 4.283e-01 1.535e+00 2.201e-01 1.946 0.05165 .
sumassure10000 -1.553e+01 1.795e-07 3.699e+03 -0.004 0.99665
sumassure100000 -7.357e-01 4.792e-01 1.156e+00 -0.636 0.52467
sumassure1000000 -1.556e+01 1.747e-07 5.556e+02 -0.028 0.97766
sumassure1000800 -1.549e+01 1.874e-07 4.062e+03 -0.004 0.99696
sumassure1002000 -1.564e+01 1.607e-07 2.408e+03 -0.006 0.99482
sumassure1008000 -1.562e+01 1.650e-07 3.225e+03 -0.005 0.99614
sumassure10080000 -1.541e+01 2.028e-07 7.148e+03 -0.002 0.99828
sumassure1014673.1 -1.543e+01 1.988e-07 6.218e+03 -0.002 0.99802
sumassure101737.03 1.186e+00 3.275e+00 1.418e+00 0.836 0.40288
sumassure101850.55 1.054e+00 2.870e+00 1.418e+00 0.743 0.45731
sumassure102000 4.671e-02 1.048e+00 1.416e+00 0.033 0.97369
sumassure1020000 -1.525e+01 2.375e-07 3.578e+03 -0.004 0.99660
sumassure1027251.36 -1.568e+01 1.557e-07 3.699e+03 -0.004 0.99662
sumassure1035360.53 -1.542e+01 2.015e-07 6.961e+03 -0.002 0.99823
sumassure1043436.77 -1.547e+01 1.905e-07 5.366e+03 -0.003 0.99770
sumassure1043438.77 -1.547e+01 1.908e-07 1.981e+03 -0.008 0.99377
sumassure10482402.52 -1.567e+01 1.560e-07 3.699e+03 -0.004 0.99662
sumassure105000 -1.556e+01 1.755e-07 3.493e+03 -0.004 0.99645
sumassure1050000 -1.562e+01 1.644e-07 3.293e+03 -0.005 0.99622
sumassure1052631.57 -1.555e+01 1.764e-07 4.870e+03 -0.003 0.99745
sumassure1056363.94 -1.498e+01 3.123e-07 7.384e+03 -0.002 0.99838
sumassure1059480 -1.555e+01 1.763e-07 1.589e+03 -0.010 0.99219
sumassure1073559.38 -1.551e+01 1.842e-07 5.238e+03 -0.003 0.99764
sumassure108000 2.147e+00 8.558e+00 1.420e+00 1.512 0.13056
sumassure1080000 -2.121e+00 1.200e-01 1.226e+00 -1.730 0.08367 .
sumassure10800000 -1.532e+01 2.215e-07 2.657e+03 -0.006 0.99540
sumassure1081137.2 -1.534e+01 2.182e-07 4.921e+03 -0.003 0.99751
sumassure108591.75 1.126e+00 3.084e+00 1.418e+00 0.794 0.42705
sumassure1100000 -1.553e+01 1.803e-07 3.699e+03 -0.004 0.99665
sumassure11121828.15 -1.526e+01 2.351e-07 6.735e+03 -0.002 0.99819
sumassure111417.02 1.042e+00 2.836e+00 1.418e+00 0.735 0.46240
sumassure1116251.83 2.065e+00 7.889e+00 1.421e+00 1.454 0.14595
sumassure1122821.57 -1.567e+01 1.569e-07 3.699e+03 -0.004 0.99662
...
Concordance= 0.781 (se = 0.018 )
Rsquare= 0.119 (max possible= 0.577 )
Likelihood ratio test= 752.4 on 526 df, p=2.95e-10
Wald test = 655.2 on 526 df, p=0.000101
Score (logrank) test = 2262 on 526 df, p=0
The sumassure is a sum assured amount of policy holder in insurance.
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