%macro ml(data=,bin=,norm=,x=,id=,print=yes,method=ISAMP,seed=,qpoints=200, tech=NRRIDG,it_his=no,maxit=); %let p=0; %do %while(%scan(&x,&p+1)^=); %let p=%eval(&p+1); %end; data dataz(keep=&id &bin &norm &x r_bin r_norm zzz); set &data; zzz=1; r_bin=1; if (&bin=.) then do; r_bin=0; &bin=0; end; r_norm=1; if (&norm=.) then do; r_norm=0; &norm=0; end; %do k=1 %to &p; %let covk=%scan(&x,&k); if (&covk=.) then do; r_bin=0; r_norm=0; &covk=0; end; %end; run; /* CC estimate of beta */ ods listing close; proc genmod data=dataz DESCENDING; model &bin =&x / dist=bin link=logit ; ods output parameterestimates=glim_est; where r_bin=1; run; data glim_est(keep=estimate); set glim_est; if parameter ne 'Scale'; run; data names; length Parameter $ 12 ; %do m=1 %to &p+1 ; Parameter = "b&m"; output; %end; run; data glim_est; merge names glim_est; run; proc genmod data=dataz ; model &norm =&x ; ods output parameterestimates=glim_est2; where r_norm=1; run; data glim_est2(keep=estimate); set glim_est2; run; data names; length Parameter $ 12 ; %do m=1 %to &p+1 ; Parameter = "a&m"; output; %end; Parameter = "sig_nor"; output; run; data glim_est2; merge names glim_est2; run; data add; length Parameter $ 12 ; Parameter = "std_re_bri"; estimate = 1; output; Parameter = "std_re_nor"; estimate = 1; output; Parameter = "rho_bri_nor"; estimate = .01; output; run; data glim_est; set glim_est glim_est2 add; run; proc datasets; delete names glim_est2 add ; run; proc sort data=dataz; by &id; run; ods listing close; proc nlmixed data=dataz tech=&tech method=&method NOAD %if &seed^= %then %do; seed=&seed %end; %if &maxit^= %then %do; MAXIT=&maxit %end; /* fd */ qpoints=&qpoints ; parms / data= glim_est ; pi = constant('pi'); /* binary */ uni = probnorm(z1); phi = 1.0/sqrt(1 + 3/pi/pi*std_re_bri*std_re_bri); B_bin = 1/phi*log(sin(pi*uni*phi)/sin( phi*pi* (1-uni) ) ); xb_bin= B_bin + b1 %do j=1 %to &p ; %let ji=%eval(1+&j); %let covj=%scan(&x,&j); + b&ji * &covj %end; ; p = exp(xb_bin)/(1 + exp(xb_bin) ); llik1 = r_bin*( &bin * log( p ) + (1 - &bin ) * log(1 - p ) ) ; /* normal */ xb_nor=std_re_nor*z2 + a1 %do j=1 %to &p ; %let ji=%eval(1+&j); %let covj=%scan(&x,&j); + a&ji * &covj %end; ; llik2 = r_norm*( (-0.5)*log(2*pi*sig_nor*sig_nor ) - (( &norm - xb_nor)**2)/(2*sig_nor*sig_nor) ) ; llik = llik1 + llik2 ; model zzz ~ general(llik); random z1 z2 ~ normal( [0,0], [1, rho_bri_nor, 1] ) subject= &id ; ESTIMATE 'b1' phi*b1 ; %do j=1 %to &p ; %let ji=%eval(1+&j); ESTIMATE "b&ji" b&ji * phi ; %end; ESTIMATE 'phi' phi ; ods output ParameterEstimates=pars_j(keep= Estimate StandardError tValue Probt) ; ods output IterHistory=it_his(drop= Rho Flag1) ; ods output AdditionalEstimates =marg_est(drop=Label df Alpha Lower Upper); run; ods listing; %if &it_his=yes %then %do; title 'Iteration history for ML'; proc print noobs data=it_his ; run; %end; data names; length Outcome $ 15 Parameter $ 20 ; Outcome="&bin"; Parameter="Intercept"; output; %do k=1 %to &p; %let covk=%scan(&x,&k); Parameter="&covk"; output; %end; Outcome="&norm"; Parameter="Intercept"; output; %do k=1 %to &p; %let covk=%scan(&x,&k); Parameter="&covk"; output; %end; Parameter = "sigma norm"; output; Outcome="&bin"; Parameter = "sigma re bridge"; output; Outcome="&norm"; Parameter = "sigma re nor"; output; Outcome=" "; Parameter = "rho bri nor"; output; run; data pars_j; merge names pars_j; run; proc datasets; delete names; run; title "ML estimate, conditional model for binary"; proc print noobs; run; title ' '; data names; length Outcome $ 15 Parameter $ 20 ; Outcome="&bin"; Parameter="Intercept"; output; %do k=1 %to &p; %let covk=%scan(&x,&k); Parameter="&covk"; output; %end; Parameter="phi"; output; run; data marg_est; merge names marg_est; run; title "ML estimate, marginal model for binary"; proc print noobs; run; proc datasets; delete DATAZ GLIM_EST pars_j names it_his marg_est; run; %mend; data EG_data; input Litter_ID Dose Fetal_Wt Fetal_Mal ; dose=dose/1000; cards; 60 0 0.903 0 60 0 0.828 0 60 0 0.953 0 60 0 0.954 0 60 0 1.070 0 60 0 1.065 0 60 0 0.959 0 61 0 1.025 0 61 0 1.006 0 61 0 1.069 0 61 0 0.825 0 61 0 1.013 0 61 0 0.994 0 61 0 1.059 0 61 0 1.041 0 61 0 1.020 0 61 0 1.041 0 61 0 0.911 0 61 0 0.988 0 61 0 0.947 0 61 0 0.976 0 68 0 1.058 0 68 0 0.950 0 68 0 0.860 0 68 0 1.015 0 68 0 0.907 0 68 0 0.856 0 68 0 1.075 0 68 0 0.958 0 68 0 1.082 0 68 0 0.916 0 68 0 1.054 0 68 0 0.921 0 68 0 0.874 0 69 0 0.999 0 69 0 0.950 0 69 0 1.065 0 69 0 0.944 0 69 0 0.949 0 69 0 1.044 0 69 0 1.025 0 69 0 0.987 0 69 0 0.879 0 69 0 0.908 0 76 0 1.071 1 76 0 1.056 0 76 0 1.084 0 76 0 0.851 0 76 0 0.925 0 76 0 0.832 0 76 0 0.979 0 76 0 1.096 0 76 0 0.954 0 76 0 0.875 0 76 0 1.057 0 76 0 1.245 0 76 0 1.018 0 76 0 1.123 0 76 0 1.030 0 76 0 0.968 0 77 0 0.852 0 77 0 0.940 0 77 0 0.905 0 77 0 0.787 0 77 0 0.918 0 77 0 0.745 0 77 0 0.907 0 77 0 0.818 0 77 0 0.896 0 77 0 0.858 0 77 0 0.935 0 77 0 0.669 0 77 0 0.930 0 77 0 0.890 0 84 0 0.983 0 84 0 0.974 0 84 0 1.005 0 84 0 0.897 0 84 0 1.110 0 84 0 1.035 0 84 0 0.997 0 84 0 1.059 0 84 0 1.067 0 84 0 0.911 0 85 0 1.122 0 85 0 1.134 0 85 0 1.117 0 85 0 0.999 0 85 0 1.200 0 85 0 1.154 0 85 0 1.077 0 85 0 0.980 0 85 0 0.989 0 85 0 1.161 0 85 0 1.101 0 85 0 1.153 0 93 0 1.051 0 93 0 1.082 0 93 0 1.062 0 93 0 0.955 0 93 0 1.095 0 93 0 0.994 0 93 0 1.093 0 93 0 1.002 0 93 0 1.038 0 93 0 1.084 0 93 0 1.026 0 100 0 0.975 0 100 0 1.110 0 100 0 1.120 0 100 0 1.170 0 100 0 1.130 0 100 0 1.070 0 100 0 1.100 0 100 0 1.020 0 101 0 1.190 0 101 0 1.040 0 101 0 0.821 0 101 0 1.070 0 101 0 0.665 0 101 0 1.120 0 106 0 1.044 0 106 0 0.933 0 106 0 0.978 0 106 0 0.981 0 106 0 0.958 0 106 0 1.005 0 106 0 1.053 0 106 0 1.059 0 106 0 0.917 0 106 0 1.079 0 106 0 1.077 0 106 0 1.060 0 106 0 1.031 0 106 0 1.006 0 106 0 1.007 0 107 0 0.960 0 107 0 0.844 0 107 0 0.833 0 107 0 0.870 0 107 0 0.887 0 107 0 0.835 0 107 0 0.716 0 107 0 0.964 0 107 0 0.933 0 107 0 0.753 0 107 0 0.803 0 107 0 0.742 0 114 0 0.885 0 114 0 0.903 0 114 0 0.815 0 114 0 0.937 0 114 0 0.936 0 114 0 0.984 0 114 0 0.835 0 114 0 0.954 0 114 0 0.890 0 114 0 0.930 0 114 0 0.924 0 114 0 0.873 0 115 0 1.045 0 115 0 1.087 0 115 0 1.021 0 115 0 0.999 0 115 0 0.908 0 115 0 1.027 0 115 0 1.041 0 115 0 0.968 0 115 0 0.971 0 115 0 1.029 0 115 0 0.923 0 115 0 0.944 0 115 0 0.953 0 122 0 1.032 0 122 0 1.045 0 122 0 0.967 0 122 0 1.065 0 122 0 0.981 0 122 0 0.964 0 122 0 1.080 0 122 0 1.100 0 122 0 0.994 0 122 0 0.949 0 123 0 1.080 0 123 0 1.081 0 123 0 1.012 0 123 0 0.856 0 123 0 0.915 0 123 0 0.952 0 123 0 0.983 0 123 0 0.872 0 123 0 0.950 0 123 0 0.939 0 130 0 1.014 0 130 0 0.907 0 130 0 0.841 0 130 0 0.892 0 130 0 0.868 0 130 0 0.837 0 130 0 0.931 0 130 0 0.871 0 130 0 0.901 0 130 0 0.987 0 130 0 0.986 0 131 0 0.933 0 131 0 0.935 0 131 0 1.033 0 131 0 1.081 0 131 0 0.773 0 131 0 1.054 0 131 0 0.946 0 131 0 0.994 0 131 0 0.724 0 131 0 0.883 0 131 0 1.047 0 131 0 0.951 0 138 0 0.806 0 138 0 0.858 0 138 0 0.815 0 138 0 0.914 0 138 0 0.841 0 138 0 0.866 0 138 0 0.792 0 138 0 0.773 0 138 0 0.882 0 138 0 0.887 0 138 0 0.847 0 138 0 1.035 0 138 0 0.918 0 139 0 0.886 0 139 0 0.923 0 139 0 1.027 0 139 0 0.991 0 139 0 0.909 0 139 0 1.061 0 139 0 1.054 0 139 0 1.018 0 139 0 1.029 0 139 0 1.100 0 139 0 0.932 0 139 0 0.886 0 139 0 1.024 0 139 0 0.930 0 146 0 1.025 0 146 0 1.014 0 146 0 0.954 0 146 0 1.081 0 146 0 0.967 0 146 0 0.912 0 146 0 1.030 0 146 0 0.871 0 146 0 0.940 0 146 0 0.996 0 146 0 1.028 0 146 0 0.794 0 146 0 0.879 0 147 0 1.058 0 147 0 1.100 0 147 0 1.121 0 147 0 1.093 0 147 0 1.017 0 147 0 1.058 0 147 0 1.090 0 147 0 1.052 0 147 0 1.046 0 147 0 1.103 0 147 0 1.026 0 147 0 1.076 0 147 0 1.095 0 153 0 1.037 0 153 0 0.987 0 153 0 1.025 0 153 0 0.967 0 153 0 0.785 0 153 0 0.861 0 153 0 0.893 0 153 0 0.941 0 153 0 0.762 0 153 0 0.976 0 153 0 1.019 0 153 0 0.889 0 153 0 0.938 0 153 0 0.961 0 154 0 0.999 0 154 0 0.880 0 154 0 0.971 0 154 0 0.924 0 154 0 0.939 0 154 0 0.966 0 154 0 0.981 0 154 0 0.974 0 154 0 0.965 0 154 0 0.938 0 154 0 0.903 0 154 0 1.094 0 154 0 0.867 0 154 0 1.007 0 54 750 0.768 0 54 750 0.731 0 54 750 0.716 0 54 750 0.693 1 54 750 0.769 0 54 750 0.731 0 54 750 0.791 0 54 750 0.765 1 54 750 0.611 1 54 750 0.745 0 59 750 0.747 0 59 750 0.755 0 59 750 0.600 0 59 750 0.796 0 59 750 0.719 0 59 750 0.458 0 59 750 0.599 1 59 750 0.635 0 59 750 0.775 1 59 750 0.660 0 59 750 0.736 0 59 750 0.745 0 59 750 0.732 0 59 750 0.653 1 62 750 0.869 0 62 750 0.834 1 62 750 0.892 0 62 750 0.542 0 62 750 0.940 0 62 750 0.814 1 62 750 0.872 0 62 750 0.772 0 62 750 0.847 0 62 750 0.946 0 62 750 0.742 0 67 750 0.959 0 67 750 0.931 0 67 750 0.967 0 67 750 0.851 0 67 750 1.061 0 67 750 0.866 0 67 750 0.838 0 67 750 0.911 0 67 750 0.885 0 67 750 1.041 0 67 750 0.940 0 67 750 0.951 0 70 750 0.836 0 70 750 0.897 0 70 750 0.738 0 70 750 0.793 1 70 750 0.764 0 70 750 0.759 0 70 750 0.872 0 70 750 0.802 0 70 750 0.857 0 70 750 0.875 0 70 750 0.830 0 70 750 0.778 0 75 750 0.860 0 75 750 0.871 0 75 750 0.794 1 75 750 0.879 0 75 750 0.674 1 75 750 0.817 0 75 750 0.913 0 75 750 0.846 0 75 750 0.931 1 75 750 0.953 0 75 750 0.809 0 75 750 0.918 0 75 750 0.850 0 78 750 0.940 0 78 750 0.871 0 78 750 0.834 0 78 750 0.963 0 78 750 0.945 0 78 750 0.966 0 78 750 0.911 0 78 750 0.934 0 78 750 1.018 0 78 750 0.948 0 78 750 0.948 0 78 750 0.947 0 78 750 0.963 0 78 750 0.837 0 78 750 0.855 0 86 750 0.815 0 86 750 0.961 0 86 750 0.920 0 86 750 0.963 0 86 750 0.812 0 86 750 0.960 0 86 750 0.982 0 86 750 0.966 0 86 750 0.874 0 86 750 0.854 0 86 750 0.900 0 91 750 0.943 0 91 750 0.898 0 91 750 0.895 0 91 750 0.938 0 91 750 0.870 0 91 750 0.878 0 91 750 0.849 0 91 750 0.802 0 94 750 1.014 0 94 750 1.043 0 94 750 0.967 0 94 750 0.967 0 94 750 0.936 0 94 750 0.996 1 94 750 0.909 0 94 750 0.962 0 94 750 0.714 0 94 750 0.979 0 94 750 0.921 0 99 750 1.010 0 99 750 1.053 0 99 750 1.006 0 99 750 0.961 0 99 750 1.043 0 99 750 0.984 0 99 750 1.034 0 99 750 1.031 0 99 750 0.894 0 99 750 1.004 0 102 750 0.970 0 102 750 0.952 0 102 750 0.932 0 102 750 0.954 0 102 750 1.030 0 102 750 0.979 0 102 750 0.890 0 102 750 1.100 0 102 750 0.965 0 102 750 1.110 0 102 750 0.965 0 102 750 1.010 0 102 750 1.080 1 102 750 1.020 0 108 750 0.812 0 108 750 0.813 0 108 750 0.833 0 108 750 0.739 0 108 750 0.819 0 108 750 0.874 0 108 750 0.800 0 108 750 0.728 0 108 750 0.774 1 108 750 0.877 0 116 750 0.564 0 116 750 0.835 0 116 750 0.722 0 116 750 0.778 0 116 750 0.810 0 116 750 0.816 0 116 750 0.838 0 116 750 0.691 0 116 750 0.695 0 116 750 0.903 0 116 750 0.731 0 116 750 0.811 0 116 750 0.770 0 116 750 0.791 0 121 750 0.928 0 121 750 0.879 0 121 750 0.906 1 121 750 0.841 0 121 750 0.906 0 121 750 0.899 0 121 750 0.888 0 121 750 0.865 0 121 750 0.914 0 121 750 0.859 0 121 750 0.927 0 121 750 0.905 0 124 750 0.936 0 124 750 0.930 0 124 750 0.845 0 124 750 0.757 0 124 750 0.868 0 124 750 0.759 0 124 750 0.931 0 124 750 0.920 0 124 750 0.921 1 124 750 0.848 0 129 750 1.016 0 129 750 0.988 0 129 750 0.900 0 129 750 0.820 0 129 750 0.949 0 129 750 0.826 1 129 750 0.828 0 129 750 1.003 0 129 750 0.924 0 129 750 0.879 0 129 750 0.913 0 132 750 0.835 1 132 750 0.876 0 132 750 0.894 0 132 750 0.841 0 132 750 0.853 0 132 750 0.733 0 132 750 0.860 0 132 750 0.814 0 132 750 0.835 0 132 750 0.995 1 132 750 0.864 0 132 750 0.870 0 132 750 0.802 1 137 750 0.875 0 137 750 0.925 0 137 750 0.813 0 137 750 0.819 0 137 750 0.961 0 137 750 0.957 0 137 750 0.903 0 137 750 0.895 0 137 750 0.876 0 137 750 0.943 0 137 750 0.882 0 137 750 0.831 0 137 750 0.911 0 137 750 0.857 0 137 750 0.912 0 140 750 0.874 0 140 750 0.867 0 140 750 0.815 0 140 750 0.832 0 140 750 0.875 0 140 750 0.876 0 140 750 0.820 0 140 750 0.857 0 140 750 0.861 0 140 750 0.858 0 140 750 0.878 0 140 750 0.836 0 140 750 0.828 0 140 750 0.903 0 140 750 0.874 0 145 750 0.957 1 145 750 1.074 0 145 750 0.993 0 145 750 0.854 0 145 750 1.043 1 145 750 0.912 0 145 750 0.952 0 148 750 1.008 0 148 750 1.048 0 148 750 0.911 0 148 750 0.998 0 148 750 0.851 0 148 750 0.868 1 148 750 0.842 0 148 750 0.744 0 148 750 1.037 0 148 750 1.027 0 148 750 1.015 0 148 750 1.033 0 152 750 1.045 0 152 750 1.026 0 152 750 1.116 0 152 750 0.794 1 152 750 1.038 0 152 750 1.105 0 152 750 0.939 0 155 750 0.809 0 155 750 0.914 0 155 750 0.772 1 155 750 0.837 0 155 750 0.960 0 155 750 0.913 0 155 750 0.883 0 155 750 0.892 0 155 750 0.831 0 55 1500 0.673 1 55 1500 0.750 1 55 1500 0.680 0 55 1500 0.501 0 55 1500 0.712 1 55 1500 0.662 1 55 1500 0.631 1 55 1500 0.647 1 55 1500 0.708 1 55 1500 0.657 1 58 1500 0.670 1 58 1500 0.716 0 58 1500 0.749 0 58 1500 0.672 1 58 1500 0.676 1 58 1500 0.682 1 58 1500 0.735 1 58 1500 0.717 1 58 1500 0.727 0 58 1500 0.679 0 58 1500 0.674 0 63 1500 0.673 0 63 1500 0.644 0 63 1500 0.605 0 63 1500 0.627 0 63 1500 0.457 1 63 1500 0.656 1 63 1500 0.665 0 63 1500 0.748 0 63 1500 0.755 1 63 1500 0.743 1 63 1500 0.744 1 63 1500 0.645 0 66 1500 0.574 0 66 1500 0.619 1 66 1500 0.607 1 66 1500 0.637 1 66 1500 0.573 1 66 1500 0.600 1 66 1500 0.623 1 66 1500 0.554 1 66 1500 0.658 1 66 1500 0.624 0 66 1500 0.582 1 66 1500 0.526 1 66 1500 0.467 1 71 1500 0.722 1 71 1500 0.419 1 71 1500 0.704 1 71 1500 0.718 1 71 1500 0.695 0 71 1500 0.867 1 71 1500 0.800 1 71 1500 0.827 0 71 1500 0.756 0 74 1500 0.677 1 74 1500 0.749 0 74 1500 0.686 1 74 1500 0.788 0 74 1500 0.719 0 74 1500 0.652 1 74 1500 0.771 0 74 1500 0.740 1 74 1500 0.570 1 74 1500 0.778 0 74 1500 0.809 0 74 1500 0.658 1 74 1500 0.758 1 79 1500 1.154 0 82 1500 0.760 0 82 1500 0.786 1 82 1500 0.828 0 82 1500 0.791 0 82 1500 0.644 1 82 1500 0.815 0 82 1500 0.730 0 82 1500 0.872 0 82 1500 0.943 0 82 1500 0.833 0 82 1500 0.809 1 87 1500 0.925 0 87 1500 0.866 0 87 1500 0.789 1 87 1500 0.857 0 87 1500 0.904 1 87 1500 0.793 1 87 1500 0.800 1 87 1500 0.822 1 87 1500 0.789 1 87 1500 0.711 1 87 1500 0.703 1 90 1500 0.654 0 90 1500 0.707 0 90 1500 0.674 0 90 1500 0.629 0 90 1500 0.772 0 90 1500 0.784 0 90 1500 0.861 0 90 1500 0.700 0 90 1500 0.763 1 90 1500 0.834 0 90 1500 0.645 1 90 1500 0.716 0 90 1500 0.712 0 90 1500 0.714 0 95 1500 0.942 0 95 1500 0.871 0 95 1500 0.973 0 95 1500 0.893 0 95 1500 0.788 0 95 1500 0.835 0 95 1500 0.917 0 95 1500 0.821 1 95 1500 0.870 0 95 1500 0.816 0 95 1500 0.848 0 95 1500 0.951 0 95 1500 0.874 0 98 1500 0.881 0 98 1500 0.804 0 98 1500 0.795 1 98 1500 0.733 1 98 1500 0.656 1 98 1500 0.850 1 98 1500 0.737 1 98 1500 0.851 0 98 1500 0.883 1 98 1500 0.814 1 98 1500 0.715 1 98 1500 0.728 1 98 1500 0.831 0 98 1500 0.792 0 98 1500 0.711 1 103 1500 0.895 0 103 1500 0.931 1 103 1500 0.916 1 103 1500 0.848 0 103 1500 0.654 0 103 1500 0.613 1 103 1500 0.842 0 103 1500 0.669 1 103 1500 0.831 0 103 1500 0.788 1 103 1500 0.835 0 105 1500 0.877 0 105 1500 0.954 0 105 1500 0.886 0 105 1500 0.895 0 105 1500 0.840 0 105 1500 0.723 0 105 1500 0.797 0 105 1500 0.836 0 105 1500 0.726 0 105 1500 0.727 1 105 1500 0.837 0 105 1500 0.715 0 112 1500 0.810 0 112 1500 0.812 0 112 1500 0.782 1 112 1500 0.757 0 112 1500 0.749 0 112 1500 0.779 0 112 1500 0.686 1 112 1500 0.760 1 112 1500 0.795 0 112 1500 0.785 0 112 1500 0.708 0 112 1500 0.660 0 112 1500 0.644 0 117 1500 0.785 0 117 1500 0.762 0 117 1500 0.744 0 117 1500 0.709 0 117 1500 0.718 0 117 1500 0.785 0 117 1500 0.820 0 117 1500 0.674 0 117 1500 0.811 0 117 1500 0.845 0 117 1500 0.693 0 117 1500 0.743 0 117 1500 0.723 0 125 1500 0.705 1 125 1500 0.607 1 125 1500 0.709 1 125 1500 0.715 0 125 1500 0.713 1 125 1500 0.765 1 125 1500 0.723 1 128 1500 0.820 0 128 1500 0.909 0 128 1500 0.925 0 128 1500 0.884 0 128 1500 0.788 1 128 1500 0.822 0 128 1500 0.816 0 128 1500 0.789 1 136 1500 0.877 0 136 1500 1.000 0 136 1500 0.817 1 141 1500 0.808 0 141 1500 0.879 0 141 1500 0.816 0 141 1500 0.939 0 141 1500 0.824 0 141 1500 0.922 0 141 1500 0.947 0 144 1500 0.792 0 144 1500 0.868 0 144 1500 0.526 1 144 1500 0.816 0 144 1500 0.770 1 144 1500 0.760 1 144 1500 0.771 1 144 1500 0.854 0 144 1500 0.921 0 144 1500 0.840 0 149 1500 0.844 0 149 1500 0.957 0 149 1500 0.929 0 149 1500 0.809 0 149 1500 0.883 0 149 1500 0.856 0 149 1500 0.755 0 149 1500 0.693 0 149 1500 0.914 0 149 1500 0.905 0 149 1500 0.860 0 149 1500 0.828 0 56 3000 0.678 1 56 3000 0.765 0 56 3000 0.518 1 56 3000 0.629 1 56 3000 0.763 0 56 3000 0.658 1 56 3000 0.732 0 57 3000 0.550 1 57 3000 0.633 1 57 3000 0.498 1 57 3000 0.633 1 57 3000 0.619 0 57 3000 0.521 1 57 3000 0.507 1 57 3000 0.696 1 57 3000 0.599 1 57 3000 0.605 1 64 3000 0.718 0 64 3000 0.615 0 64 3000 0.634 0 64 3000 0.514 0 64 3000 0.716 1 64 3000 0.708 0 64 3000 0.668 1 64 3000 0.693 0 64 3000 0.627 1 64 3000 0.623 0 64 3000 0.734 1 64 3000 0.599 0 65 3000 0.702 1 65 3000 0.678 1 65 3000 0.733 1 65 3000 0.656 1 65 3000 0.647 1 65 3000 0.719 1 65 3000 0.644 1 65 3000 0.628 1 65 3000 0.653 1 65 3000 0.597 1 65 3000 0.531 1 72 3000 0.624 1 72 3000 0.827 1 72 3000 0.846 1 72 3000 0.778 1 72 3000 0.764 0 72 3000 0.838 1 72 3000 0.841 1 72 3000 0.919 1 72 3000 0.852 0 72 3000 0.833 0 73 3000 0.665 1 73 3000 0.665 1 73 3000 0.563 0 73 3000 0.649 1 73 3000 0.617 1 73 3000 0.617 1 73 3000 0.550 1 73 3000 0.621 1 73 3000 0.607 1 73 3000 0.599 1 80 3000 1.025 1 80 3000 0.490 1 80 3000 1.004 1 80 3000 0.968 0 81 3000 0.687 1 81 3000 0.593 1 81 3000 0.631 1 81 3000 0.713 1 81 3000 0.747 1 81 3000 0.685 1 81 3000 0.791 1 89 3000 0.660 0 89 3000 0.640 0 89 3000 0.756 0 89 3000 0.727 1 96 3000 0.619 1 96 3000 0.601 1 96 3000 0.665 1 96 3000 0.572 1 96 3000 0.472 1 96 3000 0.561 1 96 3000 0.637 1 96 3000 0.627 1 96 3000 0.621 1 96 3000 0.637 1 96 3000 0.596 1 96 3000 0.591 1 97 3000 0.686 1 97 3000 0.685 1 97 3000 0.464 1 97 3000 0.649 1 97 3000 0.595 1 97 3000 0.523 1 97 3000 0.640 1 97 3000 0.618 1 97 3000 0.566 1 97 3000 0.539 1 97 3000 0.606 1 97 3000 0.585 1 104 3000 0.684 1 104 3000 0.748 1 104 3000 0.701 1 104 3000 0.484 0 104 3000 0.779 1 104 3000 0.734 1 104 3000 0.777 1 104 3000 0.893 1 104 3000 0.812 0 104 3000 0.852 1 104 3000 0.770 1 104 3000 0.734 1 104 3000 0.733 0 104 3000 0.751 1 110 3000 0.686 1 110 3000 0.762 0 110 3000 0.798 0 110 3000 0.804 0 110 3000 0.779 0 110 3000 0.731 0 110 3000 0.830 1 110 3000 0.644 1 110 3000 0.764 0 110 3000 0.750 1 110 3000 0.721 1 119 3000 0.669 0 119 3000 0.716 0 119 3000 0.717 0 119 3000 0.629 0 119 3000 0.690 0 119 3000 0.755 1 119 3000 0.663 0 119 3000 0.618 1 119 3000 0.717 1 119 3000 0.690 1 119 3000 0.675 0 119 3000 0.677 0 126 3000 0.727 0 126 3000 0.677 0 126 3000 0.623 1 126 3000 0.618 1 126 3000 0.641 1 126 3000 0.592 0 126 3000 0.768 1 126 3000 0.816 0 126 3000 0.498 0 126 3000 0.644 1 126 3000 0.743 0 126 3000 0.662 0 127 3000 0.713 0 127 3000 0.411 1 127 3000 0.768 0 127 3000 0.665 0 127 3000 0.711 0 127 3000 0.719 0 127 3000 0.710 0 127 3000 0.722 0 127 3000 0.603 1 127 3000 0.662 0 127 3000 0.649 1 127 3000 0.614 0 134 3000 0.402 1 134 3000 0.507 1 134 3000 0.451 1 134 3000 0.517 1 134 3000 0.475 1 134 3000 0.576 1 134 3000 0.651 0 134 3000 0.618 1 134 3000 0.539 1 134 3000 0.705 1 135 3000 0.687 0 135 3000 0.847 0 135 3000 0.817 0 135 3000 0.842 0 135 3000 0.699 0 135 3000 0.838 0 135 3000 0.801 0 135 3000 0.635 0 135 3000 0.761 0 142 3000 0.696 0 142 3000 0.573 1 142 3000 0.656 1 142 3000 0.688 1 142 3000 0.689 1 142 3000 0.587 0 142 3000 0.608 0 142 3000 0.643 1 142 3000 0.618 0 143 3000 1.198 0 143 3000 0.758 0 143 3000 0.929 0 143 3000 0.930 0 143 3000 1.005 1 143 3000 0.917 1 143 3000 0.910 0 150 3000 0.733 0 150 3000 0.731 1 150 3000 0.810 1 150 3000 0.934 0 150 3000 0.785 0 150 3000 0.799 0 150 3000 0.742 0 150 3000 0.921 0 150 3000 0.957 0 150 3000 0.894 0 150 3000 0.870 0 150 3000 0.791 1 151 3000 0.883 0 151 3000 0.900 0 151 3000 0.756 1 151 3000 0.776 0 151 3000 0.857 0 151 3000 0.769 0 151 3000 0.890 1 156 3000 0.811 1 156 3000 1.002 0 156 3000 0.877 0 156 3000 0.790 0 156 3000 0.902 0 156 3000 0.864 0 156 3000 0.856 0 156 3000 0.797 0 156 3000 0.839 0 156 3000 0.867 0 156 3000 0.724 0 156 3000 0.829 0 ; run; options nocenter mprint; %ml(data=EG_data, bin=Fetal_Mal,norm=Fetal_Wt, x=Dose, id=Litter_ID, method=ISAMP, qpoints=200,maxit=100, tech=NRRIDG,it_his=yes);