> Dear Statalist:
>
> I am running Stcox and would really appreciate any help that someone what me able to provide. How does one interpret missing standard errors, misin z scores etc. When I run it, several of the variables, (e.g., "lang") come back with a hazard ratio but nothing else. I checked the Stata FAQ response. However, it is unclear to me if it best practice to leave those variables out. Are the results credible with some of the variables coming out like this. Also, many of the P values are coming back as 1.000. How does one interpret this result? Can I use/trust the overall results and the results of other variables?
>
>
> Cox regression --
> Breslow method for ties Number of obs = 22667
> Gamma shared frailty Number of groups = 103
> Group variable: company
>
> No. of subjects = 2163 Obs per group: min = 194
> No. of failures = 71 avg = 220.068
> Time at risk = 7739538 max = 395
>
> Wald chi2(46) = 6209.90
> Log likelihood = -313.29552 Prob > chi2 = 0.0000
>
> ------------------------------------------------------------------------------
> _t | Haz. Ratio Std. Err. z P>|z| [95% Conf. Interval]
> -------------+----------------------------------------------------------------
> pstock | .9992232 .0121881 -0.06 0.949 .9756183 1.023399
> mstock | 1.0124 .0179597 0.69 0.487 .9778044 1.048219
> expstock | 1.094391 .1897217 0.52 0.603 .7791295 1.537218
> grupo2 | 4.231667 2.718451 2.25 0.025 1.201417 14.9049
> priv | 2.162367 1.563238 1.07 0.286 .524289 8.918421
> alliance | 2.812804 1.462422 1.99 0.047 1.015281 7.79279
> own2 | 1.310643 1.584542 0.22 0.823 .1225741 14.01427
> lsales | 1.371852 .3741872 1.16 0.246 .8037721 2.341432
> nf | .9062903 .105697 -0.84 0.399 .7210994 1.139041
> pre91 | 4.332353 1.997612 3.18 0.001 1.754857 10.69562
> age | .9949293 .0094322 -0.54 0.592 .9766132 1.013589
> sic1 | 1.859124 2.472855 0.47 0.641 .1371227 25.20619
> sic2 | 4.299693 4.926218 1.27 0.203 .4552019 40.61353
> sic3 | 2.843917 3.657909 0.81 0.416 .2286034 35.37945
> gdpcaph | 1.000517 .0005426 0.95 0.340 .9994545 1.001581
> gdpdiff | 1 3.27e-07 0.25 0.802 .9999994 1.000001
> lang | 1.17e+09 . . . . .
> lndist | 1.38712 3.576611 0.13 0.899 .008858 217.215
> agree | .9933545 .6794694 -0.01 0.992 .2599379 3.796111
> border | 4.169336 7.285759 0.82 0.414 .1357139 128.0884
> lninfdi | 1.272696 .5410447 0.57 0.571 .5531771 2.928093
> lnexport | 1.226262 .5871333 0.43 0.670 .4797653 3.134281
> coun1 | 3.22e-08 .7510258 -0.00 1.000 0 .
> coun2 | 3.94e+07 1.46e+08 4.72 0.000 27456.55 5.66e+10
> coun3 | 3408175 . . . . .
> coun4 | 2.17e+08 8.30e+08 5.02 0.000 120135.3 3.92e+11
> coun6 | 6.54e+07 2.00e+08 5.87 0.000 160486 2.66e+10
> coun7 | 5.03e-07 21.54161 -0.00 1.000 0 .
> tarcou1 | 4.11e-18 1.44e-09 -0.00 1.000 0 .
> tarcou2 | .8961112 2.568654 -0.04 0.969 .0032542 246.7658>
> tarcou3 | .302835 .835457 -0.43 0.665 .0013581 67.52881
> tarcou4 | .3512424 .8451288 -0.43 0.664 .0031443 39.2368
> tarcou5 | 5.08e-18 1.86e-09 -0.00 1.000 0 .
> tarcou6 | 7.41e-18 2.79e-09 -0.00 1.000 0 .
> tarcou7 | .5215511 1.251615 -0.27 0.786 .004727 57.54455
> tarcou8 | .2315671 .6427914 -0.53 0.598 .0010043 53.39115
> tarcou9 | 6.90e-18 2.70e-09 -0.00 1.000 0 .
> tarcou11 | 6.73e-18 2.16e-09 -0.00 1.000 0 .
> tarcou12 | 3.20e-18 1.17e-09 -0.00 1.000 0 .
> tarcou13 | 2.44e-18 8.51e-10 -0.00 1.000 0 .
> tarcou15 | 2.15e-18 8.31e-10 -0.00 1.000 0 .
> tarcou16 | 7.80e-18 2.98e-09 -0.00 1.000 0 .
> tarcou17 | 1.043378 2.932431 0.02 0.988 .0042279 257.4887
> tarcou18 | 4.31e-09 1.06e-08 -7.84 0.000 3.50e-11 5.32e-07
> tarcou19 | 3.93e-09 9.88e-09 -7.69 0.000 2.84e-11 5.44e-07
> tarcou20 | 3.63e-18 1.37e-09 -0.00 1.000 0 .
> tarcou21 | .4769469 1.298323 -0.27 0.786 .0022981 98.98547
> tarcou22 | .234499 .5961574 -0.57 0.568 .0016076 34.20708
> -------------+----------------------------------------------------------------
> theta | .4990421 .4101498
> ------------------------------------------------------------------------------
> Likelihood-ratio test of theta=0: chibar2(01) = 3.58 Prob>=chibar2 = 0.029
>
> Note: Standard errors of hazard ratios are conditional on theta.
>
> Thanks,
>
> Doug Thomas
>
>
>
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