. * Summary of Variables . summarize lbp cf_d cs_d bc_d lse lb ss_d ds_d lgs egs mo1 mo_c1-mo_c3 lt Variable | Obs Mean Std. Dev. Min Max ---------+----------------------------------------------------- lbp | 6364 12.27703 37.03491 -192 205 cf_d | 6364 .8299811 .3756789 0 1 cs_d | 6364 .5793526 .4937018 0 1 bc_d | 6364 .0350409 .1838975 0 1 lse | 6364 20.09774 34.14285 -40 130 lb | 6364 85.0506 28.63797 39 207 ss_d | 6364 .1715902 .3770535 0 1 ds_d | 6364 .0857951 .2800832 0 1 lgs | 6364 8.705738 .8155656 6.741701 9.821301 egs | 6364 32.42134 7.890783 3.766836 41.54313 mo1 | 5593 69.27785 32.38327 5 177 mo_c1 | 5578 4.7299 30.36954 -77.77778 216.6667 mo_c2 | 5457 5.879543 37.20937 -77.77778 262.963 mo_c3 | 5242 5.769769 35.90419 -77.77778 262.963 lt | 6364 134.4059 44.12425 1 280 . pwcorr lbp cf_d cs_d bc_d lse lb ss_d ds_d lgs egs mo1 mo_c1-mo_c3, sig | lbp cf_d cs_d bc_d lse lb ss_d ----------+--------------------------------------------------------------- lbp | 1.0000 | | cf_d | -0.0122 1.0000 | 0.3309 | cs_d | -0.0045 0.1295 1.0000 | 0.7218 0.0000 | bc_d | 0.3568 -0.0025 -0.0730 1.0000 | 0.0000 0.8438 0.0000 | lse | -0.1362 0.1025 0.0891 -0.0103 1.0000 | 0.0000 0.0000 0.0000 0.4099 | lb | 0.2678 -0.0383 -0.1384 -0.0162 0.1678 1.0000 | 0.0000 0.0023 0.0000 0.1976 0.0000 | ss_d | -0.0323 -0.0004 -0.0217 -0.0867 -0.1876 -0.0262 1.0000 | 0.0100 0.9760 0.0841 0.0000 0.0000 0.0363 | ds_d | 0.0357 -0.0436 -0.1106 0.0393 -0.2721 0.0648 0.1389 | 0.0044 0.0005 0.0000 0.0017 0.0000 0.0000 0.0000 | lgs | 0.1974 0.0270 0.0523 0.0959 -0.0195 -0.4088 -0.1430 | 0.0000 0.0315 0.0000 0.0000 0.1194 0.0000 0.0000 | egs | -0.2081 0.1714 0.1141 0.0126 -0.0286 -0.4788 -0.1324 | 0.0000 0.0000 0.0000 0.3137 0.0227 0.0000 0.0000 | mo1 | -0.0875 0.0271 0.0736 -0.0311 0.0195 0.0816 0.0324 | 0.0000 0.0427 0.0000 0.0199 0.1448 0.0000 0.0154 | mo_c1 | -0.0596 0.0229 0.0339 -0.0111 -0.0078 0.0743 -0.1338 | 0.0000 0.0877 0.0113 0.4084 0.5620 0.0000 0.0000 | mo_c2 | -0.0177 0.0179 0.0213 -0.0136 -0.1239 -0.0263 0.1365 | 0.1904 0.1860 0.1162 0.3144 0.0000 0.0524 0.0000 | mo_c3 | -0.0819 -0.0099 0.0523 -0.0272 0.1319 0.0177 -0.0866 | 0.0000 0.4745 0.0002 0.0490 0.0000 0.2012 0.0000 | | ds_d lgs egs mo1 mo_c1 mo_c2 mo_c3 ----------+--------------------------------------------------------------- ds_d | 1.0000 | | lgs | -0.0314 1.0000 | 0.0123 | egs | -0.0599 -0.0470 1.0000 | 0.0000 0.0002 | mo1 | 0.0276 -0.3011 0.0647 1.0000 | 0.0387 0.0000 0.0000 | mo_c1 | 0.0306 -0.0593 0.0345 0.1671 1.0000 | 0.0221 0.0000 0.0101 0.0000 | mo_c2 | -0.0043 -0.1252 0.0003 -0.0117 -0.3557 1.0000 | 0.7482 0.0000 0.9823 0.3891 0.0000 | mo_c3 | 0.0198 -0.0941 -0.0279 -0.0007 0.0805 -0.3520 1.0000 | 0.1509 0.0000 0.0432 0.9622 0.0000 0.0000 | . * Cox Model 1 (Robust) . stcox lbp cf_d cs_d bc_d lse lb ss_d ds_d lgs egs, robust nohr failure _d: delta analysis time _t: lt Iteration 0: log likelihood = -42285.406 Iteration 1: log likelihood = -40428.734 Iteration 2: log likelihood = -40296.989 Iteration 3: log likelihood = -40295.381 Iteration 4: log likelihood = -40295.38 Refining estimates: Iteration 0: log likelihood = -40295.38 Cox regression -- Breslow method for ties No. of subjects = 6364 Number of obs = 6364 No. of failures = 5335 Time at risk = 855359 Wald chi2(10) = 2783.06 Log likelihood = -40295.38 Prob > chi2 = 0.0000 ------------------------------------------------------------------------------ _t | Robust _d | Coef. Std. Err. z P>|z| [95% Conf. Interval] ---------+-------------------------------------------------------------------- lbp | .0179245 .0007851 22.830 0.000 .0163857 .0194633 cf_d | .0408213 .0364403 1.120 0.263 -.0306003 .1122428 cs_d | .5641775 .0319317 17.668 0.000 .5015926 .6267625 bc_d | -2.010841 .117618 -17.096 0.000 -2.241368 -1.780314 lse | -.0202161 .0008015 -25.223 0.000 -.0217871 -.0186452 lb | -.0247272 .000927 -26.673 0.000 -.0265442 -.0229102 ss_d | -.3648245 .0433811 -8.410 0.000 -.4498499 -.2797991 ds_d | -.1160058 .049156 -2.360 0.018 -.2123499 -.0196618 lgs | -.5263425 .0279891 -18.805 0.000 -.5812001 -.4714849 egs | -.0307988 .0020953 -14.699 0.000 -.0349054 -.0266922 ------------------------------------------------------------------------------ . * Cox Model 2 (Robust) . stcox lbp cf_d cs_d bc_d lse lb ss_d ds_d lgs egs mo_c1-mo_c3, robust nohr failure _d: delta analysis time _t: lt Iteration 0: log likelihood = -34350.002 Iteration 1: log likelihood = -33022.536 Iteration 2: log likelihood = -32929.172 Iteration 3: log likelihood = -32927.843 Iteration 4: log likelihood = -32927.842 Refining estimates: Iteration 0: log likelihood = -32927.842 Cox regression -- Breslow method for ties No. of subjects = 5231 Number of obs = 5231 No. of failures = 4442 Time at risk = 697566 Wald chi2(13) = 1934.20 Log likelihood = -32927.842 Prob > chi2 = 0.0000 ------------------------------------------------------------------------------ _t | Robust _d | Coef. Std. Err. z P>|z| [95% Conf. Interval] ---------+-------------------------------------------------------------------- lbp | .019587 .000865 22.645 0.000 .0178917 .0212823 cf_d | -.0521532 .0400319 -1.303 0.193 -.1306143 .0263078 cs_d | .5350446 .0349777 15.297 0.000 .4664896 .6035995 bc_d | -2.080346 .1239814 -16.780 0.000 -2.323345 -1.837347 lse | -.0185057 .0008576 -21.578 0.000 -.0201866 -.0168248 lb | -.0271675 .0012128 -22.401 0.000 -.0295445 -.0247905 ss_d | -.3117305 .0456003 -6.836 0.000 -.4011055 -.2223555 ds_d | -.0882248 .0507355 -1.739 0.082 -.1876646 .0112149 lgs | -.5510401 .0319499 -17.247 0.000 -.6136608 -.4884195 egs | -.0301845 .0022255 -13.563 0.000 -.0345463 -.0258227 mo_c1 | .0011395 .0005318 2.143 0.032 .0000973 .0021818 mo_c2 | .0023762 .0005865 4.052 0.000 .0012267 .0035256 mo_c3 | .0008403 .0004124 2.038 0.042 .0000321 .0016485 ------------------------------------------------------------------------------ . testparm mo_c1-mo_c3 ( 1) mo_c1 = 0.0 ( 2) mo_c2 = 0.0 ( 3) mo_c3 = 0.0 chi2( 3) = 17.64 Prob > chi2 = 0.0005 . * Cox Model 1 w MO_C1 (Robust) . stcox lbp cf_d cs_d bc_d lse lb ss_d ds_d lgs egs mo_c1, robust nohr failure _d: delta analysis time _t: lt Iteration 0: log likelihood = -37084.467 Iteration 1: log likelihood = -35524.712 Iteration 2: log likelihood = -35404.517 Iteration 3: log likelihood = -35403.037 Iteration 4: log likelihood = -35403.036 Refining estimates: Iteration 0: log likelihood = -35403.036 Cox regression -- Breslow method for ties No. of subjects = 5578 Number of obs = 5578 No. of failures = 4763 Time at risk = 740641 Wald chi2(11) = 2459.77 Log likelihood = -35403.036 Prob > chi2 = 0.0000 ------------------------------------------------------------------------------ _t | Robust _d | Coef. Std. Err. z P>|z| [95% Conf. Interval] ---------+-------------------------------------------------------------------- lbp | .0192151 .0008767 21.919 0.000 .0174969 .0209333 cf_d | -.0475188 .038773 -1.226 0.220 -.1235125 .0284749 cs_d | .5299645 .033737 15.709 0.000 .4638412 .5960878 bc_d | -2.077232 .1247226 -16.655 0.000 -2.321684 -1.83278 lse | -.0193521 .0008298 -23.323 0.000 -.0209784 -.0177258 lb | -.0252949 .0010113 -25.013 0.000 -.027277 -.0233129 ss_d | -.3428361 .0452884 -7.570 0.000 -.4315999 -.2540724 ds_d | -.0956506 .0505707 -1.891 0.059 -.1947674 .0034663 lgs | -.5540823 .030189 -18.354 0.000 -.6132515 -.494913 egs | -.0300122 .002227 -13.476 0.000 -.0343771 -.0256473 mo_c1 | .0002943 .0004512 0.652 0.514 -.00059 .0011787 ------------------------------------------------------------------------------ . * Cox Model 1 w MO_C1 and MO_C2 (Robust) . stcox lbp cf_d cs_d bc_d lse lb ss_d ds_d lgs egs mo_c1 mo_c2, robust nohr failure _d: delta analysis time _t: lt Iteration 0: log likelihood = -36111.183 Iteration 1: log likelihood = -34654.083 Iteration 2: log likelihood = -34523.649 Iteration 3: log likelihood = -34522.076 Iteration 4: log likelihood = -34522.075 Refining estimates: Iteration 0: log likelihood = -34522.075 Cox regression -- Breslow method for ties No. of subjects = 5452 Number of obs = 5452 No. of failures = 4646 Time at risk = 718947 Wald chi2(12) = 2428.54 Log likelihood = -34522.075 Prob > chi2 = 0.0000 ------------------------------------------------------------------------------ _t | Robust _d | Coef. Std. Err. z P>|z| [95% Conf. Interval] ---------+-------------------------------------------------------------------- lbp | .0198978 .0008757 22.723 0.000 .0181815 .021614 cf_d | -.057084 .0396826 -1.439 0.150 -.1348604 .0206925 cs_d | .5376597 .0341551 15.742 0.000 .4707169 .6046025 bc_d | -2.112892 .1242986 -16.999 0.000 -2.356512 -1.869271 lse | -.0184041 .0008205 -22.431 0.000 -.0200121 -.016796 lb | -.0270849 .0012016 -22.540 0.000 -.02944 -.0247298 ss_d | -.3288349 .0447934 -7.341 0.000 -.4166283 -.2410414 ds_d | -.0798658 .0506549 -1.577 0.115 -.1791476 .0194161 lgs | -.5643163 .0305827 -18.452 0.000 -.6242574 -.5043753 egs | -.0307476 .0022259 -13.813 0.000 -.0351103 -.0263848 mo_c1 | .0010839 .0004955 2.187 0.029 .0001127 .0020551 mo_c2 | .0006616 .0003569 1.854 0.064 -.0000379 .0013612 ------------------------------------------------------------------------------ . test mo_c1 mo_c2 ( 1) mo_c1 = 0.0 ( 2) mo_c2 = 0.0 chi2( 2) = 5.74 Prob > chi2 = 0.0567 . * Cox Model 1 Hazard Ratios (Robust) . stcox lbp cf_d cs_d bc_d lse lb ss_d ds_d lgs egs, robust failure _d: delta analysis time _t: lt Iteration 0: log likelihood = -42285.406 Iteration 1: log likelihood = -40428.734 Iteration 2: log likelihood = -40296.989 Iteration 3: log likelihood = -40295.381 Iteration 4: log likelihood = -40295.38 Refining estimates: Iteration 0: log likelihood = -40295.38 Cox regression -- Breslow method for ties No. of subjects = 6364 Number of obs = 6364 No. of failures = 5335 Time at risk = 855359 Wald chi2(10) = 2783.06 Log likelihood = -40295.38 Prob > chi2 = 0.0000 ------------------------------------------------------------------------------ _t | Robust _d | Haz. Ratio Std. Err. z P>|z| [95% Conf. Interval] ---------+-------------------------------------------------------------------- lbp | 1.018086 .0007993 22.830 0.000 1.016521 1.019654 cf_d | 1.041666 .0379586 1.120 0.263 .9698631 1.118785 cs_d | 1.758001 .0561359 17.668 0.000 1.651349 1.871542 bc_d | .1338761 .0157462 -17.096 0.000 .106313 .1685853 lse | .9799868 .0007855 -25.223 0.000 .9784486 .9815275 lb | .975576 .0009044 -26.673 0.000 .973805 .9773502 ss_d | .6943185 .0301203 -8.410 0.000 .6377239 .7559356 ds_d | .89047 .043772 -2.360 0.018 .8086817 .9805303 lgs | .5907617 .0165349 -18.805 0.000 .5592269 .6240749 egs | .9696707 .0020317 -14.699 0.000 .9656968 .9736609 ------------------------------------------------------------------------------ . * Cox Model 2 Hazard Ratios (Robust) . stcox lbp cf_d cs_d bc_d lse lb ss_d ds_d lgs egs mo_c1-mo_c3, robust failure _d: delta analysis time _t: lt Iteration 0: log likelihood = -34350.002 Iteration 1: log likelihood = -33022.536 Iteration 2: log likelihood = -32929.172 Iteration 3: log likelihood = -32927.843 Iteration 4: log likelihood = -32927.842 Refining estimates: Iteration 0: log likelihood = -32927.842 Cox regression -- Breslow method for ties No. of subjects = 5231 Number of obs = 5231 No. of failures = 4442 Time at risk = 697566 Wald chi2(13) = 1934.20 Log likelihood = -32927.842 Prob > chi2 = 0.0000 ------------------------------------------------------------------------------ _t | Robust _d | Haz. Ratio Std. Err. z P>|z| [95% Conf. Interval] ---------+-------------------------------------------------------------------- lbp | 1.01978 .0008821 22.645 0.000 1.018053 1.02151 cf_d | .9491834 .0379976 -1.303 0.193 .8775562 1.026657 cs_d | 1.707524 .0597252 15.297 0.000 1.594387 1.828689 bc_d | .124887 .0154837 -16.780 0.000 .0979454 .1592393 lse | .9816644 .0008419 -21.578 0.000 .9800157 .9833159 lb | .9731982 .0011803 -22.401 0.000 .9708877 .9755142 ss_d | .7321788 .0333876 -6.836 0.000 .6695794 .8006307 ds_d | .915555 .0464511 -1.739 0.082 .8288927 1.011278 lgs | .57635 .0184143 -17.247 0.000 .5413654 .6135954 egs | .9702665 .0021593 -13.563 0.000 .9660436 .9745079 mo_c1 | 1.00114 .0005324 2.143 0.032 1.000097 1.002184 mo_c2 | 1.002379 .0005879 4.052 0.000 1.001227 1.003532 mo_c3 | 1.000841 .0004127 2.038 0.042 1.000032 1.00165 ------------------------------------------------------------------------------ . * Cox Model 2 w MO1 (Robust) . stcox lbp cf_d cs_d bc_d lse lb ss_d ds_d lgs egs mo1 mo_c1-mo_c3, robust no > hr failure _d: delta analysis time _t: lt Iteration 0: log likelihood = -34350.002 Iteration 1: log likelihood = -33020.702 Iteration 2: log likelihood = -32927.474 Iteration 3: log likelihood = -32926.139 Iteration 4: log likelihood = -32926.138 Refining estimates: Iteration 0: log likelihood = -32926.138 Cox regression -- Breslow method for ties No. of subjects = 5231 Number of obs = 5231 No. of failures = 4442 Time at risk = 697566 Wald chi2(14) = 1926.95 Log likelihood = -32926.138 Prob > chi2 = 0.0000 ------------------------------------------------------------------------------ _t | Robust _d | Coef. Std. Err. z P>|z| [95% Conf. Interval] ---------+-------------------------------------------------------------------- lbp | .0196013 .0008657 22.641 0.000 .0179045 .0212981 cf_d | -.0485569 .0400683 -1.212 0.226 -.1270894 .0299756 cs_d | .5373752 .0350353 15.338 0.000 .4687073 .6060431 bc_d | -2.082655 .1240707 -16.786 0.000 -2.325829 -1.839481 lse | -.0184817 .0008588 -21.520 0.000 -.020165 -.0167984 lb | -.0271144 .001214 -22.335 0.000 -.0294938 -.0247351 ss_d | -.3104233 .0456576 -6.799 0.000 -.3999106 -.2209361 ds_d | -.087745 .0507526 -1.729 0.084 -.1872182 .0117282 lgs | -.5639475 .0325196 -17.342 0.000 -.6276848 -.5002102 egs | -.0302141 .0022264 -13.571 0.000 -.0345778 -.0258503 mo1 | -.0009293 .0004982 -1.865 0.062 -.0019058 .0000472 mo_c1 | .0013515 .0005375 2.515 0.012 .0002981 .0024049 mo_c2 | .0025219 .0005784 4.360 0.000 .0013883 .0036556 mo_c3 | .0008344 .0004098 2.036 0.042 .0000313 .0016376 ------------------------------------------------------------------------------ . testparm mo_c1-mo_c3 ( 1) mo_c1 = 0.0 ( 2) mo_c2 = 0.0 ( 3) mo_c3 = 0.0 chi2( 3) = 20.84 Prob > chi2 = 0.0001 . * Cox Model 2 w Committee Dummies (Robust) . stcox lbp cf_d cs_d bc_d lse lb ss_d ds_d lgs egs mo_c1-mo_c3 bl1-bl41, robu > st nohr failure _d: delta analysis time _t: lt Note: bl1 dropped due to collinearity. Note: bl14 dropped due to collinearity. Note: bl15 dropped due to collinearity. Note: bl16 dropped due to collinearity. Note: bl17 dropped due to collinearity. Note: bl18 dropped due to collinearity. Note: bl19 dropped due to collinearity. Note: bl20 dropped due to collinearity. Note: bl21 dropped due to collinearity. Note: bl22 dropped due to collinearity. Note: bl23 dropped due to collinearity. Note: bl24 dropped due to collinearity. Note: bl25 dropped due to collinearity. Note: bl26 dropped due to collinearity. Note: bl27 dropped due to collinearity. Note: bl28 dropped due to collinearity. Note: bl29 dropped due to collinearity. Note: bl30 dropped due to collinearity. Note: bl35 dropped due to collinearity. Note: bl36 dropped due to collinearity. Note: bl37 dropped due to collinearity. Note: bl38 dropped due to collinearity. Note: bl39 dropped due to collinearity. Note: bl40 dropped due to collinearity. Note: bl41 dropped due to collinearity. Iteration 0: log likelihood = -34350.002 Iteration 1: log likelihood = -32877.778 Iteration 2: log likelihood = -32763.596 Iteration 3: log likelihood = -32762.14 Iteration 4: log likelihood = -32762.139 Iteration 5: log likelihood = -32762.139 Refining estimates: Iteration 0: log likelihood = -32762.139 Cox regression -- Breslow method for ties No. of subjects = 5231 Number of obs = 5231 No. of failures = 4442 Time at risk = 697566 Wald chi2(29) = 2323.17 Log likelihood = -32762.139 Prob > chi2 = 0.0000 ------------------------------------------------------------------------------ _t | Robust _d | Coef. Std. Err. z P>|z| [95% Conf. Interval] ---------+-------------------------------------------------------------------- lbp | .0210006 .0009202 22.822 0.000 .019197 .0228041 cf_d | .140805 .045207 3.115 0.002 .052201 .229409 cs_d | .5829463 .0380925 15.303 0.000 .5082864 .6576062 bc_d | -2.129206 .1277034 -16.673 0.000 -2.3795 -1.878912 lse | -.0189559 .0008543 -22.189 0.000 -.0206302 -.0172815 lb | -.0290855 .0012518 -23.235 0.000 -.0315389 -.0266321 ss_d | -.2674366 .0458774 -5.829 0.000 -.3573547 -.1775184 ds_d | -.0882639 .0506134 -1.744 0.081 -.1874644 .0109366 lgs | -.5643854 .0362761 -15.558 0.000 -.6354853 -.4932854 egs | -.0279959 .0023721 -11.802 0.000 -.0326451 -.0233467 mo_c1 | .0012116 .000547 2.215 0.027 .0001395 .0022836 mo_c2 | .0022605 .0006097 3.708 0.000 .0010656 .0034555 mo_c3 | .0013913 .0004372 3.182 0.001 .0005344 .0022482 bl2 | -.5507963 .1000537 -5.505 0.000 -.7468979 -.3546947 bl3 | -.026234 .1333608 -0.197 0.844 -.2876163 .2351484 bl4 | .0829079 .1112053 0.746 0.456 -.1350504 .3008663 bl5 | .1661255 .2005013 0.829 0.407 -.2268499 .5591008 bl6 | .1822904 .0959775 1.899 0.058 -.005822 .3704029 bl7 | -.3264248 .1162512 -2.808 0.005 -.554273 -.0985766 bl8 | -.4059235 .1074606 -3.777 0.000 -.6165425 -.1953045 bl9 | -.2634582 .1113151 -2.367 0.018 -.4816318 -.0452846 bl10 | -.1783659 .1132116 -1.576 0.115 -.4002565 .0435247 bl11 | -.0898735 .1131313 -0.794 0.427 -.3116068 .1318598 bl12 | .0728022 .1232897 0.590 0.555 -.1688412 .3144457 bl13 | .4241343 .1177029 3.603 0.000 .1934408 .6548277 bl31 | .2179857 .1471315 1.482 0.138 -.0703867 .506358 bl32 | .104336 .175316 0.595 0.552 -.2392771 .4479491 bl33 | .2985953 .1398142 2.136 0.033 .0245645 .5726261 bl34 | -.1576195 .3606351 -0.437 0.662 -.8644513 .5492123 ------------------------------------------------------------------------------ . testparm mo_c1-mo_c3 ( 1) mo_c1 = 0.0 ( 2) mo_c2 = 0.0 ( 3) mo_c3 = 0.0 chi2( 3) = 18.83 Prob > chi2 = 0.0003 . keep if mo~=. (1133 observations deleted) . * Cox Model 1 w Obs included in Model 2 (Robust) . stcox lbp cf_d cs_d bc_d lse lb ss_d ds_d lgs egs, robust nohr failure _d: delta analysis time _t: lt Iteration 0: log likelihood = -34350.002 Iteration 1: log likelihood = -33036.147 Iteration 2: log likelihood = -32938.668 Iteration 3: log likelihood = -32937.229 Iteration 4: log likelihood = -32937.228 Refining estimates: Iteration 0: log likelihood = -32937.228 Cox regression -- Breslow method for ties No. of subjects = 5231 Number of obs = 5231 No. of failures = 4442 Time at risk = 697566 Wald chi2(10) = 1900.26 Log likelihood = -32937.228 Prob > chi2 = 0.0000 ------------------------------------------------------------------------------ _t | Robust _d | Coef. Std. Err. z P>|z| [95% Conf. Interval] ---------+-------------------------------------------------------------------- lbp | .0194843 .0008606 22.641 0.000 .0177976 .021171 cf_d | -.0377369 .0404734 -0.932 0.351 -.1170632 .0415895 cs_d | .5397626 .0345472 15.624 0.000 .4720514 .6074738 bc_d | -2.080468 .1239282 -16.788 0.000 -2.323363 -1.837574 lse | -.0186212 .0008647 -21.536 0.000 -.0203159 -.0169265 lb | -.026575 .0012069 -22.018 0.000 -.0289406 -.0242094 ss_d | -.3355097 .0446177 -7.520 0.000 -.4229587 -.2480607 ds_d | -.0819883 .0508198 -1.613 0.107 -.1815933 .0176167 lgs | -.5640573 .0315847 -17.859 0.000 -.6259622 -.5021524 egs | -.0304622 .0022127 -13.767 0.000 -.0347991 -.0261254 ------------------------------------------------------------------------------