> nank5y40.1 $label [1] "sex,pat_age,nankslope1" "sex,pat_age,nankslope1,acr1" [3] "sex,pat_age,nankslope1,nankslope2" "sex,nankslope1" $bic [1] -997.4555 -994.7877 -992.1100 -992.0392 $n.models [1] 4 $probne0 sex pat_age immunosuppression nankslope1 100.0 95.2 0.0 100.0 nankslope2 acr1 4.9 18.8 $which sex pat_age immunosuppression nankslope1 nankslope2 acr1 [1,] TRUE TRUE FALSE TRUE FALSE FALSE [2,] TRUE TRUE FALSE TRUE FALSE TRUE [3,] TRUE TRUE FALSE TRUE TRUE FALSE [4,] TRUE FALSE FALSE TRUE FALSE FALSE $size [1] 3 4 4 2 $mle Intercept sex=male pat_age immunosuppression=neo/imuran [1,] 3.4827218 2.867810 -0.06578983 NA [2,] 3.0380619 2.906481 -0.06088977 NA [3,] 3.4740995 2.868464 -0.06564482 NA [4,] 0.2902138 2.522286 NA NA immunosuppression=neo/mmf immunosuppression=sand/imuran [1,] NA NA [2,] NA NA [3,] NA NA [4,] NA NA immunosuppression=other|none nankslope1 nankslope2 acr1=yes [1,] NA 0.2276776 NA NA [2,] NA 0.2448628 NA 1.567064 [3,] NA 0.2279817 0.05147515 NA [4,] NA 0.2407552 NA NA $se Intercept sex=male pat_age immunosuppression=neo/imuran [1,] 1.1603414 0.5876825 0.02215362 NA [2,] 1.1704105 0.5941323 0.02214049 NA [3,] 1.1793753 0.5879853 0.02243743 NA [4,] 0.3426876 0.5446915 NA NA immunosuppression=neo/mmf immunosuppression=sand/imuran [1,] NA NA [2,] NA NA [3,] NA NA [4,] NA NA immunosuppression=other|none nankslope1 nankslope2 acr1=yes [1,] NA 0.09428066 NA NA [2,] NA 0.09711799 NA 1.119558 [3,] NA 0.09464002 1.285039 NA [4,] NA 0.09309259 NA NA $postmean Intercept sex=male 3.246469511 2.858661877 pat_age immunosuppression=neo/imuran -0.061725587 0.000000000 immunosuppression=neo/mmf immunosuppression=sand/imuran 0.000000000 0.000000000 immunosuppression=other|none nankslope1 0.000000000 0.231551438 nankslope2 acr1=yes 0.002540764 0.295060472 $postsd Intercept sex=male 1.32720104 0.59193753 pat_age immunosuppression=neo/imuran 0.02573198 0.00000000 immunosuppression=neo/mmf immunosuppression=sand/imuran 0.00000000 0.00000000 immunosuppression=other|none nankslope1 0.00000000 0.09503996 nankslope2 acr1=yes 0.28571348 0.78187024 $postprob [1] 0.71470877 0.18828867 0.04935905 0.04764351 $condpostmean Intercept sex=male 3.24646951 2.85866188 pat_age immunosuppression=neo/imuran -0.06481353 0.00000000 immunosuppression=neo/mmf immunosuppression=sand/imuran 0.00000000 0.00000000 immunosuppression=other|none nankslope1 0.00000000 0.23155144 nankslope2 acr1=yes 0.05147515 1.56706441 $condpostsd Intercept sex=male 1.32720104 0.59193753 pat_age immunosuppression=neo/imuran 0.02225127 0.00000000 immunosuppression=neo/mmf immunosuppression=sand/imuran 0.00000000 0.00000000 immunosuppression=other|none nankslope1 0.00000000 0.09503996 nankslope2 acr1=yes 1.28503915 1.11955815 $n [1] 210 $vars.in.model [1] "sex" "pat_age" "immunosuppression" [4] "nankslope1" "nankslope2" "acr1" $first.model.in sex pat_age immunosuppression nankslope1 1 1 NA 1 nankslope2 acr1 3 2 $first.model.out sex pat_age immunosuppression nankslope1 NA 4 1 NA nankslope2 acr1 1 1 $input.nrows [1] 210 $reduced [1] FALSE $call bic.glm.formula(f = as.formula(f), data = data, glm.family = "binomial") $factor.type [1] TRUE $original.namesx [1] "sex" "pat_age" "immunosuppression" [4] "nankslope1" "nankslope2" "acr1" $discard.incomplete.models [1] TRUE $mixed.interactionterms.factor.type [1] TRUE $reference.values sex immunosuppression acr1 "female" "fk/mmf" "no" $nests [1] 10 $disp [1] 1 $family [1] "binomial" $prior.model.weights [1] 1 1 1 1 $prior.param sex pat_age immunosuppression nankslope1 0.5 0.5 0.5 0.5 nankslope2 acr1 0.5 0.5 $mle.lower Intercept sex=male pat_age immunosuppression=neo/imuran [1,] 1.2084944 1.715974 -0.1092101 NA [2,] 0.7440996 1.742003 -0.1042843 NA [3,] 1.1625663 1.716034 -0.1096214 NA [4,] -0.3814415 1.454710 NA NA immunosuppression=neo/mmf immunosuppression=sand/imuran [1,] NA NA [2,] NA NA [3,] NA NA [4,] NA NA immunosuppression=other|none nankslope1 nankslope2 acr1=yes [1,] NA 0.04289089 NA NA [2,] NA 0.05451504 NA -0.6272292 [3,] NA 0.04249069 -2.467155 NA [4,] NA 0.05829704 NA NA $mle.upper Intercept sex=male pat_age immunosuppression=neo/imuran [1,] 5.756949 4.019647 -0.02236953 NA [2,] 5.332024 4.070959 -0.01749520 NA [3,] 5.785633 4.020894 -0.02166827 NA [4,] 0.961869 3.589862 NA NA immunosuppression=neo/mmf immunosuppression=sand/imuran [1,] NA NA [2,] NA NA [3,] NA NA [4,] NA NA immunosuppression=other|none nankslope1 nankslope2 acr1=yes [1,] NA 0.4124643 NA NA [2,] NA 0.4352106 NA 3.761358 [3,] NA 0.4134727 2.570106 NA [4,] NA 0.4232133 NA NA $odds.ratio sex=male pat_age immunosuppression=neo/imuran immunosuppression=neo/mmf [1,] 17.59844 0.9363276 NA NA [2,] 18.29232 0.9409270 NA NA [3,] 17.60995 0.9364634 NA NA [4,] 12.45704 NA NA NA immunosuppression=sand/imuran immunosuppression=other|none nankslope1 [1,] NA NA 1.255680 [2,] NA NA 1.277446 [3,] NA NA 1.256062 [4,] NA NA 1.272210 nankslope2 acr1=yes [1,] NA NA [2,] NA 4.792559 [3,] 1.052823 NA [4,] NA NA $odds.ratio.lower sex=male pat_age immunosuppression=neo/imuran immunosuppression=neo/mmf [1,] 5.562089 0.8965420 NA NA [2,] 5.708768 0.9009691 NA NA [3,] 5.562425 0.8961734 NA NA [4,] 4.283243 NA NA NA immunosuppression=sand/imuran immunosuppression=other|none nankslope1 [1,] NA NA 1.043824 [2,] NA NA 1.056028 [3,] NA NA 1.043406 [4,] NA NA 1.060030 nankslope2 acr1=yes [1,] NA NA [2,] NA 0.5340695 [3,] 0.08482582 NA [4,] NA NA $odds.ratio.upper sex=male pat_age immunosuppression=neo/imuran immunosuppression=neo/mmf [1,] 55.68144 0.9778788 NA NA [2,] 58.61314 0.9826569 NA NA [3,] 55.75095 0.9785648 NA NA [4,] 36.22907 NA NA NA immunosuppression=sand/imuran immunosuppression=other|none nankslope1 [1,] NA NA 1.510536 [2,] NA NA 1.545288 [3,] NA NA 1.512060 [4,] NA NA 1.526860 nankslope2 acr1=yes [1,] NA NA [2,] NA 43.00679 [3,] 13.0672 NA [4,] NA NA $deviance [1] 104.0487 101.3694 104.0471 114.8120 > nank5y40.2 $label [1] "pat_age,nankslope1,sexmatch" [2] "pat_age,sexmatch" [3] "pat_age,nankslope1,acr1,sexmatch" [4] "pat_age,immunosuppression,nankslope1,sexmatch" [5] "pat_age,nankslope1,nankslope2,sexmatch" $bic [1] -992.9294 -990.4877 -990.0075 -988.7320 -987.5837 $n.models [1] 5 $probne0 pat_age immunosuppression nankslope1 nankslope2 100.0 7.1 82.8 4.0 acr1 sexmatch 13.5 100.0 $which pat_age immunosuppression nankslope1 nankslope2 acr1 sexmatch [1,] TRUE FALSE TRUE FALSE FALSE TRUE [2,] TRUE FALSE FALSE FALSE FALSE TRUE [3,] TRUE FALSE TRUE FALSE TRUE TRUE [4,] TRUE TRUE TRUE FALSE FALSE TRUE [5,] TRUE FALSE TRUE TRUE FALSE TRUE $size [1] 3 2 4 4 4 $mle Intercept pat_age immunosuppression=neo/imuran [1,] 6.972293 -0.07363721 NA [2,] 7.456247 -0.07551015 NA [3,] 6.594619 -0.06898259 NA [4,] 6.171508 -0.07943468 17.84297 [5,] 6.965521 -0.07350173 NA immunosuppression=neo/mmf immunosuppression=sand/imuran [1,] NA NA [2,] NA NA [3,] NA NA [4,] 1.114062 2.426649 [5,] NA NA immunosuppression=other|none nankslope1 nankslope2 acr1=yes [1,] NA 0.2017799 NA NA [2,] NA NA NA NA [3,] NA 0.2172757 NA 1.506684 [4,] 18.6439 0.2078068 NA NA [5,] NA 0.2020862 0.05275339 NA sexmatch=D_M in F sexmatch=D_F in M sexmatch=D_F in F [1,] -2.113342 -0.2417073 -3.721948 [2,] -1.696197 -0.2188215 -3.587185 [3,] -2.171863 -0.2626761 -3.773613 [4,] -1.797409 -0.3555761 -4.417915 [5,] -2.114363 -0.2430744 -3.723091 $se Intercept pat_age immunosuppression=neo/imuran [1,] 1.526926 0.02360986 NA [2,] 1.480273 0.02282099 NA [3,] 1.528662 0.02353432 NA [4,] 1.629527 0.02652806 4173.238 [5,] 1.536318 0.02387237 NA immunosuppression=neo/mmf immunosuppression=sand/imuran [1,] NA NA [2,] NA NA [3,] NA NA [4,] 0.948401 0.7760888 [5,] NA NA immunosuppression=other|none nankslope1 nankslope2 acr1=yes [1,] NA 0.09816287 NA NA [2,] NA NA NA NA [3,] NA 0.10107108 NA 1.121765 [4,] 2220.94 0.09782267 NA NA [5,] NA 0.09857255 1.395179 NA sexmatch=D_M in F sexmatch=D_F in M sexmatch=D_F in F [1,] 0.9109874 0.9492185 0.8683510 [2,] 0.8830128 0.9444149 0.8481512 [3,] 0.9181862 0.9511724 0.8808399 [4,] 0.9811055 0.9867862 1.0189673 [5,] 0.9115814 0.9500105 0.8689727 $postmean Intercept pat_age 6.946967771 -0.073738459 immunosuppression=neo/imuran immunosuppression=neo/mmf 1.272948610 0.079479143 immunosuppression=sand/imuran immunosuppression=other|none 0.173121305 1.330088314 nankslope1 nankslope2 0.169682637 0.002119639 acr1=yes sexmatch=D_M in F 0.203397649 -2.027149651 sexmatch=D_F in M sexmatch=D_F in F -0.248788687 -3.755490454 $postsd Intercept pat_age 1.561077e+00 2.382252e-02 immunosuppression=neo/imuran immunosuppression=neo/mmf 1.114676e+03 3.826188e-01 immunosuppression=sand/imuran immunosuppression=other|none 6.581061e-01 5.932296e+02 nankslope1 nankslope2 1.185392e-01 2.798553e-01 acr1=yes sexmatch=D_M in F 6.595146e-01 9.287572e-01 sexmatch=D_F in M sexmatch=D_F in F 9.519608e-01 8.990343e-01 $postprob [1] 0.58185135 0.17162986 0.13499691 0.07134173 0.04018015 $condpostmean Intercept pat_age 6.94696777 -0.07373846 immunosuppression=neo/imuran immunosuppression=neo/mmf 17.84297434 1.11406250 immunosuppression=sand/imuran immunosuppression=other|none 2.42664863 18.64390399 nankslope1 nankslope2 0.20483915 0.05275339 acr1=yes sexmatch=D_M in F 1.50668378 -2.02714965 sexmatch=D_F in M sexmatch=D_F in F -0.24878869 -3.75549045 $condpostsd Intercept pat_age 1.561077e+00 2.382252e-02 immunosuppression=neo/imuran immunosuppression=neo/mmf 4.173238e+03 9.484010e-01 immunosuppression=sand/imuran immunosuppression=other|none 7.760888e-01 2.220940e+03 nankslope1 nankslope2 9.880004e-02 1.395179e+00 acr1=yes sexmatch=D_M in F 1.121765e+00 1.295615e+00 sexmatch=D_F in M sexmatch=D_F in F 3.098864e+00 3.073569e+00 $n [1] 210 $vars.in.model [1] "pat_age" "immunosuppression" "nankslope1" [4] "nankslope2" "acr1" "sexmatch" $first.model.in pat_age immunosuppression nankslope1 nankslope2 1 4 1 5 acr1 sexmatch 3 1 $first.model.out pat_age immunosuppression nankslope1 nankslope2 NA 1 2 1 acr1 sexmatch 1 NA $input.nrows [1] 210 $reduced [1] FALSE $call bic.glm.formula(f = as.formula(f), data = data, glm.family = "binomial") $factor.type [1] TRUE $original.namesx [1] "pat_age" "immunosuppression" "nankslope1" [4] "nankslope2" "acr1" "sexmatch" $discard.incomplete.models [1] TRUE $mixed.interactionterms.factor.type [1] TRUE $reference.values immunosuppression acr1 sexmatch "fk/mmf" "no" "D_M in M" $nests [1] 12 $disp [1] 1 $family [1] "binomial" $prior.model.weights [1] 1 1 1 1 1 $prior.param pat_age immunosuppression nankslope1 nankslope2 0.5 0.5 0.5 0.5 acr1 sexmatch 0.5 0.5 $mle.lower Intercept pat_age immunosuppression=neo/imuran [1,] 3.979573 -0.1199117 NA [2,] 4.554965 -0.1202385 NA [3,] 3.598497 -0.1151090 NA [4,] 2.977694 -0.1314287 -8161.553 [5,] 3.954394 -0.1202907 NA immunosuppression=neo/mmf immunosuppression=sand/imuran [1,] NA NA [2,] NA NA [3,] NA NA [4,] -0.7447694 0.9055425 [5,] NA NA immunosuppression=other|none nankslope1 nankslope2 acr1=yes [1,] NA 0.009384255 NA NA [2,] NA NA NA NA [3,] NA 0.019180073 NA -0.6919343 [4,] -4334.318 0.016077926 NA NA [5,] NA 0.008887518 -2.681748 NA sexmatch=D_M in F sexmatch=D_F in M sexmatch=D_F in F [1,] -3.898845 -2.102142 -5.423884 [2,] -3.426870 -2.069841 -5.249531 [3,] -3.971475 -2.126940 -5.500027 [4,] -3.720341 -2.289642 -6.415054 [5,] -3.901030 -2.105061 -5.426246 $mle.upper Intercept pat_age immunosuppression=neo/imuran [1,] 9.965013 -0.02736272 NA [2,] 10.357529 -0.03078183 NA [3,] 9.590741 -0.02285618 NA [4,] 9.365323 -0.02744063 8197.239 [5,] 9.976649 -0.02671274 NA immunosuppression=neo/mmf immunosuppression=sand/imuran [1,] NA NA [2,] NA NA [3,] NA NA [4,] 2.972894 3.947755 [5,] NA NA immunosuppression=other|none nankslope1 nankslope2 acr1=yes [1,] NA 0.3941756 NA NA [2,] NA NA NA NA [3,] NA 0.4153714 NA 3.705302 [4,] 4371.606 0.3995358 NA NA [5,] NA 0.3952848 2.787254 NA sexmatch=D_M in F sexmatch=D_F in M sexmatch=D_F in F [1,] -0.32783973 1.618727 -2.020011 [2,] 0.03447624 1.632198 -1.924839 [3,] -0.37225146 1.601587 -2.047199 [4,] 0.12552199 1.578489 -2.420776 [5,] -0.32769673 1.618912 -2.019935 $odds.ratio pat_age immunosuppression=neo/imuran immunosuppression=neo/mmf [1,] 0.9290087 NA NA [2,] 0.9272703 NA NA [3,] 0.9333429 NA NA [4,] 0.9236384 56118402 3.046711 [5,] 0.9291345 NA NA immunosuppression=sand/imuran immunosuppression=other|none nankslope1 [1,] NA NA 1.223579 [2,] NA NA NA [3,] NA NA 1.242687 [4,] 11.32088 125009962 1.230975 [5,] NA NA 1.223953 nankslope2 acr1=yes sexmatch=D_M in F sexmatch=D_F in M sexmatch=D_F in F [1,] NA NA 0.1208334 0.7852860 0.02418681 [2,] NA NA 0.1833796 0.8034652 0.02767614 [3,] NA 4.511744 0.1139651 0.7689909 0.02296893 [4,] NA NA 0.1657277 0.7007696 0.01205935 [5,] 1.05417 NA 0.1207101 0.7842132 0.02415918 $odds.ratio.lower pat_age immunosuppression=neo/imuran immunosuppression=neo/mmf [1,] 0.8869988 NA NA [2,] 0.8867090 NA NA [3,] 0.8912690 NA NA [4,] 0.8768418 0 0.4748438 [5,] 0.8866626 NA NA immunosuppression=sand/imuran immunosuppression=other|none nankslope1 [1,] NA NA 1.009428 [2,] NA NA NA [3,] NA NA 1.019365 [4,] 2.473273 0 1.016208 [5,] NA NA 1.008927 nankslope2 acr1=yes sexmatch=D_M in F sexmatch=D_F in M sexmatch=D_F in F [1,] NA NA 0.02026531 0.1221945 0.004409983 [2,] NA NA 0.03248846 0.1262059 0.005249983 [3,] NA 0.5006068 0.01884561 0.1192015 0.004086659 [4,] NA NA 0.02422571 0.1013028 0.001636731 [5,] 0.06844344 NA 0.02022107 0.1218383 0.004399582 $odds.ratio.upper pat_age immunosuppression=neo/imuran immunosuppression=neo/mmf [1,] 0.9730082 NA NA [2,] 0.9696871 NA NA [3,] 0.9774030 NA NA [4,] 0.9729324 Inf 19.54842 [5,] 0.9736409 NA NA immunosuppression=sand/imuran immunosuppression=other|none nankslope1 [1,] NA NA 1.483161 [2,] NA NA NA [3,] NA NA 1.514933 [4,] 51.81889 Inf 1.491132 [5,] NA NA 1.484807 nankslope2 acr1=yes sexmatch=D_M in F sexmatch=D_F in M sexmatch=D_F in F [1,] NA NA 0.7204785 5.046661 0.13265400 [2,] NA NA 1.0350774 5.115104 0.14589926 [3,] NA 40.66232 0.6891809 4.960901 0.12909604 [4,] NA NA 1.1337401 4.847627 0.08885267 [5,] 16.23638 NA 0.7205815 5.047596 0.13266402 $deviance [1] 97.88050 105.66936 95.45532 80.68954 97.87908 > nank5y50.1 $label [1] "sex,pat_age,nankslope1,acr1" [2] "sex,pat_age,nankslope1" [3] "sex,pat_age,nankslope1,nankslope2,acr1" [4] "sex,nankslope1,acr1" $bic [1] -893.5101 -891.1035 -888.4647 -888.2221 $n.models [1] 4 $probne0 sex pat_age immunosuppression nankslope1 100.0 95.1 0.0 100.0 nankslope2 acr1 5.5 79.3 $which sex pat_age immunosuppression nankslope1 nankslope2 acr1 [1,] TRUE TRUE FALSE TRUE FALSE TRUE [2,] TRUE TRUE FALSE TRUE FALSE FALSE [3,] TRUE TRUE FALSE TRUE TRUE TRUE [4,] TRUE FALSE FALSE TRUE FALSE TRUE $size [1] 4 3 5 3 $mle Intercept sex=male pat_age immunosuppression=neo/imuran [1,] 1.2357647 1.712115 -0.04377487 NA [2,] 1.7071991 1.651106 -0.04820319 NA [3,] 1.2885793 1.721806 -0.04479730 NA [4,] -0.8158221 1.508533 NA NA immunosuppression=neo/mmf immunosuppression=sand/imuran [1,] NA NA [2,] NA NA [3,] NA NA [4,] NA NA immunosuppression=other|none nankslope1 nankslope2 acr1=yes [1,] NA 0.1847318 NA 1.650611 [2,] NA 0.1691439 NA NA [3,] NA 0.1847527 -0.3882527 1.636521 [4,] NA 0.1914176 NA 1.843950 $se Intercept sex=male pat_age immunosuppression=neo/imuran [1,] 0.7286035 0.3823035 0.01410158 NA [2,] 0.7039825 0.3697965 0.01385798 NA [3,] 0.7372884 0.3835621 0.01426964 NA [4,] 0.3305679 0.3575121 NA NA immunosuppression=neo/mmf immunosuppression=sand/imuran [1,] NA NA [2,] NA NA [3,] NA NA [4,] NA NA immunosuppression=other|none nankslope1 nankslope2 acr1=yes [1,] NA 0.05049561 NA 0.6781527 [2,] NA 0.04884507 NA NA [3,] NA 0.05052142 0.6645808 0.6809317 [4,] NA 0.05115333 NA 0.6621530 $postmean Intercept sex=male 1.23572398 1.69006387 pat_age immunosuppression=neo/imuran -0.04260371 0.00000000 immunosuppression=neo/mmf immunosuppression=sand/imuran 0.00000000 0.00000000 immunosuppression=other|none nankslope1 0.00000000 0.18183648 nankslope2 acr1=yes -0.02146319 1.31792734 $postsd Intercept sex=male 0.86939655 0.38168566 pat_age immunosuppression=neo/imuran 0.01686851 0.00000000 immunosuppression=neo/mmf immunosuppression=sand/imuran 0.00000000 0.00000000 immunosuppression=other|none nankslope1 0.00000000 0.05062976 nankslope2 acr1=yes 0.17969007 0.90475002 $postprob [1] 0.68893575 0.20681560 0.05528150 0.04896716 $condpostmean Intercept sex=male 1.2357240 1.6900639 pat_age immunosuppression=neo/imuran -0.0447973 0.0000000 immunosuppression=neo/mmf immunosuppression=sand/imuran 0.0000000 0.0000000 immunosuppression=other|none nankslope1 0.0000000 0.1818365 nankslope2 acr1=yes -0.3882527 1.6615649 $condpostsd Intercept sex=male 0.86939655 0.38168566 pat_age immunosuppression=neo/imuran 0.01417499 0.00000000 immunosuppression=neo/mmf immunosuppression=sand/imuran 0.00000000 0.00000000 immunosuppression=other|none nankslope1 0.00000000 0.05062976 nankslope2 acr1=yes 0.66458077 0.67899329 $n [1] 210 $vars.in.model [1] "sex" "pat_age" "immunosuppression" [4] "nankslope1" "nankslope2" "acr1" $first.model.in sex pat_age immunosuppression nankslope1 1 1 NA 1 nankslope2 acr1 3 1 $first.model.out sex pat_age immunosuppression nankslope1 NA 4 1 NA nankslope2 acr1 1 2 $input.nrows [1] 210 $reduced [1] FALSE $call bic.glm.formula(f = as.formula(f), data = data, glm.family = "binomial") $factor.type [1] TRUE $original.namesx [1] "sex" "pat_age" "immunosuppression" [4] "nankslope1" "nankslope2" "acr1" $discard.incomplete.models [1] TRUE $mixed.interactionterms.factor.type [1] TRUE $reference.values sex immunosuppression acr1 "female" "fk/mmf" "no" $nests [1] 10 $disp [1] 1 $family [1] "binomial" $prior.model.weights [1] 1 1 1 1 $prior.param sex pat_age immunosuppression nankslope1 0.5 0.5 0.5 0.5 nankslope2 acr1 0.5 0.5 $mle.lower Intercept sex=male pat_age immunosuppression=neo/imuran [1,] -0.1922719 0.9628134 -0.07141346 NA [2,] 0.3274188 0.9263177 -0.07536432 NA [3,] -0.1564794 0.9700385 -0.07276529 NA [4,] -1.4637234 0.8078221 NA NA immunosuppression=neo/mmf immunosuppression=sand/imuran [1,] NA NA [2,] NA NA [3,] NA NA [4,] NA NA immunosuppression=other|none nankslope1 nankslope2 acr1=yes [1,] NA 0.08576217 NA 0.3214563 [2,] NA 0.07340929 NA NA [3,] NA 0.08573251 -1.690807 0.3019198 [4,] NA 0.09115891 NA 0.5461538 $mle.upper Intercept sex=male pat_age immunosuppression=neo/imuran [1,] 2.6638013 2.461416 -0.01613628 NA [2,] 3.0869794 2.375893 -0.02104205 NA [3,] 2.7336379 2.473574 -0.01682931 NA [4,] -0.1679208 2.209244 NA NA immunosuppression=neo/mmf immunosuppression=sand/imuran [1,] NA NA [2,] NA NA [3,] NA NA [4,] NA NA immunosuppression=other|none nankslope1 nankslope2 acr1=yes [1,] NA 0.2837013 NA 2.979766 [2,] NA 0.2648784 NA NA [3,] NA 0.2837728 0.9143017 2.971123 [4,] NA 0.2916763 NA 3.141746 $odds.ratio sex=male pat_age immunosuppression=neo/imuran immunosuppression=neo/mmf [1,] 5.540665 0.9571694 NA NA [2,] 5.212739 0.9529401 NA NA [3,] 5.594625 0.9561913 NA NA [4,] 4.520095 NA NA NA immunosuppression=sand/imuran immunosuppression=other|none nankslope1 [1,] NA NA 1.202896 [2,] NA NA 1.184290 [3,] NA NA 1.202921 [4,] NA NA 1.210965 nankslope2 acr1=yes [1,] NA 5.210163 [2,] NA NA [3,] 0.6782409 5.137268 [4,] NA 6.321458 $odds.ratio.lower sex=male pat_age immunosuppression=neo/imuran immunosuppression=neo/mmf [1,] 2.619055 0.9310768 NA NA [2,] 2.525194 0.9274055 NA NA [3,] 2.638046 0.9298190 NA NA [4,] 2.243018 NA NA NA immunosuppression=sand/imuran immunosuppression=other|none nankslope1 [1,] NA NA 1.089547 [2,] NA NA 1.076171 [3,] NA NA 1.089515 [4,] NA NA 1.095443 nankslope2 acr1=yes [1,] NA 1.379135 [2,] NA NA [3,] 0.1843707 1.352453 [4,] NA 1.726599 $odds.ratio.upper sex=male pat_age immunosuppression=neo/imuran immunosuppression=neo/mmf [1,] 11.721393 0.9839932 NA NA [2,] 10.760622 0.9791778 NA NA [3,] 11.864779 0.9833115 NA NA [4,] 9.108825 NA NA NA immunosuppression=sand/imuran immunosuppression=other|none nankslope1 [1,] NA NA 1.328036 [2,] NA NA 1.303273 [3,] NA NA 1.328131 [4,] NA NA 1.338670 nankslope2 acr1=yes [1,] NA 19.68321 [2,] NA NA [3,] 2.495032 19.51382 [4,] NA 23.14424 $deviance [1] 202.6469 210.4007 202.3452 213.2820 > nank5y50.2 $label [1] "pat_age,nankslope1,acr1,sexmatch" [2] "pat_age,nankslope1,sexmatch" [3] "pat_age,nankslope1,nankslope2,acr1,sexmatch" $bic [1] -896.5478 -893.8843 -891.7281 $n.models [1] 3 $probne0 pat_age immunosuppression nankslope1 nankslope2 100.0 0.0 100.0 6.6 acr1 sexmatch 80.5 100.0 $which pat_age immunosuppression nankslope1 nankslope2 acr1 sexmatch [1,] TRUE FALSE TRUE FALSE TRUE TRUE [2,] TRUE FALSE TRUE FALSE FALSE TRUE [3,] TRUE FALSE TRUE TRUE TRUE TRUE $size [1] 4 3 5 $mle Intercept pat_age immunosuppression=neo/imuran [1,] 3.774530 -0.05053782 NA [2,] 4.120058 -0.05394366 NA [3,] 3.883674 -0.05215781 NA immunosuppression=neo/mmf immunosuppression=sand/imuran [1,] NA NA [2,] NA NA [3,] NA NA immunosuppression=other|none nankslope1 nankslope2 acr1=yes [1,] NA 0.1638673 NA 1.750278 [2,] NA 0.1504216 NA NA [3,] NA 0.1640917 -0.5495037 1.752136 sexmatch=D_M in F sexmatch=D_F in M sexmatch=D_F in F [1,] -1.230934 -0.7774915 -3.144711 [2,] -1.175592 -0.7561997 -3.003455 [3,] -1.254525 -0.7965479 -3.184335 $se Intercept pat_age immunosuppression=neo/imuran [1,] 0.8879680 0.01505688 NA [2,] 0.8622312 0.01463293 NA [3,] 0.9080594 0.01530622 NA immunosuppression=neo/mmf immunosuppression=sand/imuran [1,] NA NA [2,] NA NA [3,] NA NA immunosuppression=other|none nankslope1 nankslope2 acr1=yes [1,] NA 0.05165734 NA 0.7073399 [2,] NA 0.05012863 NA NA [3,] NA 0.05177904 0.6884858 0.7110838 sexmatch=D_M in F sexmatch=D_F in M sexmatch=D_F in F [1,] 0.5659484 0.4670781 0.6006542 [2,] 0.5531033 0.4597232 0.5720271 [3,] 0.5678113 0.4697575 0.6076509 $postmean Intercept pat_age 3.84915415 -0.05130949 immunosuppression=neo/imuran immunosuppression=neo/mmf 0.00000000 0.00000000 immunosuppression=sand/imuran immunosuppression=other|none 0.00000000 0.00000000 nankslope1 nankslope2 0.16126012 -0.03645941 acr1=yes sexmatch=D_M in F 1.40907352 -1.22170658 sexmatch=D_F in M sexmatch=D_F in F -0.77460370 -3.11979329 $postsd Intercept pat_age 0.89476324 0.01505317 immunosuppression=neo/imuran immunosuppression=neo/mmf 0.00000000 0.00000000 immunosuppression=sand/imuran immunosuppression=other|none 0.00000000 0.00000000 nankslope1 nankslope2 0.05164720 0.22395511 acr1=yes sexmatch=D_M in F 0.94027090 0.56407768 sexmatch=D_F in M sexmatch=D_F in F 0.46594349 0.59847653 $postprob [1] 0.7386368 0.1950135 0.0663497 $condpostmean Intercept pat_age 3.84915415 -0.05130949 immunosuppression=neo/imuran immunosuppression=neo/mmf 0.00000000 0.00000000 immunosuppression=sand/imuran immunosuppression=other|none 0.00000000 0.00000000 nankslope1 nankslope2 0.16126012 -0.54950373 acr1=yes sexmatch=D_M in F 1.75043127 -1.22170658 sexmatch=D_F in M sexmatch=D_F in F -0.77460370 -3.11979329 $condpostsd Intercept pat_age 0.89476324 0.01505317 immunosuppression=neo/imuran immunosuppression=neo/mmf 0.00000000 0.00000000 immunosuppression=sand/imuran immunosuppression=other|none 0.00000000 0.00000000 nankslope1 nankslope2 0.05164720 0.68848579 acr1=yes sexmatch=D_M in F 0.70764940 0.76151136 sexmatch=D_F in M sexmatch=D_F in F 0.84908110 2.01377735 $n [1] 210 $vars.in.model [1] "pat_age" "immunosuppression" "nankslope1" [4] "nankslope2" "acr1" "sexmatch" $first.model.in pat_age immunosuppression nankslope1 nankslope2 1 NA 1 3 acr1 sexmatch 1 1 $first.model.out pat_age immunosuppression nankslope1 nankslope2 NA 1 NA 1 acr1 sexmatch 2 NA $input.nrows [1] 210 $reduced [1] FALSE $call bic.glm.formula(f = as.formula(f), data = data, glm.family = "binomial") $factor.type [1] TRUE $original.namesx [1] "pat_age" "immunosuppression" "nankslope1" [4] "nankslope2" "acr1" "sexmatch" $discard.incomplete.models [1] TRUE $mixed.interactionterms.factor.type [1] TRUE $reference.values immunosuppression acr1 sexmatch "fk/mmf" "no" "D_M in M" $nests [1] 12 $disp [1] 1 $family [1] "binomial" $prior.model.weights [1] 1 1 1 $prior.param pat_age immunosuppression nankslope1 nankslope2 0.5 0.5 0.5 0.5 acr1 sexmatch 0.5 0.5 $mle.lower Intercept pat_age immunosuppression=neo/imuran [1,] 2.034145 -0.08004876 NA [2,] 2.430116 -0.08262367 NA [3,] 2.103910 -0.08215745 NA immunosuppression=neo/mmf immunosuppression=sand/imuran [1,] NA NA [2,] NA NA [3,] NA NA immunosuppression=other|none nankslope1 nankslope2 acr1=yes [1,] NA 0.06262079 NA 0.3639174 [2,] NA 0.05217132 NA NA [3,] NA 0.06260669 -1.898911 0.3584374 sexmatch=D_M in F sexmatch=D_F in M sexmatch=D_F in F [1,] -2.340172 -1.692948 -4.321972 [2,] -2.259655 -1.657241 -4.124608 [3,] -2.367415 -1.717256 -4.375309 $mle.upper Intercept pat_age immunosuppression=neo/imuran [1,] 5.514915 -0.02102688 NA [2,] 5.810000 -0.02526365 NA [3,] 5.663438 -0.02215817 NA immunosuppression=neo/mmf immunosuppression=sand/imuran [1,] NA NA [2,] NA NA [3,] NA NA immunosuppression=other|none nankslope1 nankslope2 acr1=yes [1,] NA 0.2651138 NA 3.136639 [2,] NA 0.2486719 NA NA [3,] NA 0.2655768 0.7999036 3.145835 sexmatch=D_M in F sexmatch=D_F in M sexmatch=D_F in F [1,] -0.12169509 0.1379647 -1.967450 [2,] -0.09152949 0.1448413 -1.882303 [3,] -0.14163546 0.1241599 -1.993361 $odds.ratio pat_age immunosuppression=neo/imuran immunosuppression=neo/mmf [1,] 0.9507180 NA NA [2,] 0.9474855 NA NA [3,] 0.9491791 NA NA immunosuppression=sand/imuran immunosuppression=other|none nankslope1 [1,] NA NA 1.178058 [2,] NA NA 1.162324 [3,] NA NA 1.178322 nankslope2 acr1=yes sexmatch=D_M in F sexmatch=D_F in M sexmatch=D_F in F [1,] NA 5.756203 0.2920198 0.4595574 0.04307937 [2,] NA NA 0.3086362 0.4694471 0.04961534 [3,] 0.5772362 5.766908 0.2852112 0.4508828 0.04140576 $odds.ratio.lower pat_age immunosuppression=neo/imuran immunosuppression=neo/mmf [1,] 0.9230713 NA NA [2,] 0.9206976 NA NA [3,] 0.9211269 NA NA immunosuppression=sand/imuran immunosuppression=other|none nankslope1 [1,] NA NA 1.064623 [2,] NA NA 1.053556 [3,] NA NA 1.064608 nankslope2 acr1=yes sexmatch=D_M in F sexmatch=D_F in M sexmatch=D_F in F [1,] NA 1.438955 0.09631105 0.1839764 0.01327369 [2,] NA NA 0.10438652 0.1906643 0.01616984 [3,] 0.1497316 1.431091 0.09372269 0.1795583 0.01258425 $odds.ratio.upper pat_age immunosuppression=neo/imuran immunosuppression=neo/mmf [1,] 0.9791926 NA NA [2,] 0.9750528 NA NA [3,] 0.9780855 NA NA immunosuppression=sand/imuran immunosuppression=other|none nankslope1 [1,] NA NA 1.303579 [2,] NA NA 1.282321 [3,] NA NA 1.304183 nankslope2 acr1=yes sexmatch=D_M in F sexmatch=D_F in M sexmatch=D_F in F [1,] NA 23.02634 0.8854183 1.147935 0.1398129 [2,] NA NA 0.9125344 1.155856 0.1522391 [3,] 2.225326 23.23907 0.8679376 1.132197 0.1362367 $deviance [1] 188.9150 196.9256 188.3877