Coef. Std. Err z P>lzl (95% Conf. Interval]
Fatty_type            
Age -0.0138739 0.0126286 -1 .10 0 .272 -0.038626 0.0108778
Gender 0.0034449 0.2610207 0 . 0 1 0 .989 -0.508146 0.515036
BMI 0.0701801 0.0269094 2. 61 0 .009 0.0174386 0.1229216
HblAc -. 1545435 0.0853633 -1 . 8 1 0 .070 -0.321853 0.0127656
Cho -0.0001859 0.0025515 -o . 0 7 0 .942 -0.005187 0.004815
TG 0.0008252 0.0014075 0 .59 0 . 558 -0.001933 0.0035838
Pressure 0.0074593 0.0076659 0 .97 0 . 3 3 1 -. 0075657 0.0224843
Goe 0.1296733 0.0602018 2 .15 0 .031 . 01168 0.094098
Gpe 0.0184007 0.0386218 0 .48 0. 634 -0.057297 0.0108221
ALI< 0.0019094 0.0045473 0 . 42 0 . 675 -0.007003 0.0108221
cons -2.474073 1.517789 -1. 63 0. 103 -5.448886 0.5007396
Liver_type            
Age 0.0249884 0.0125168 2 . 0 0 0 .046 0.0004559 0.0495209
Gender 0.1890935 0.2448802 0 . 77 0 .440 -0.290863 . 669049 9
BMI -0.0045514 0.0225854 -o .20 0 .840 -0.048818 0.0397153
HblAc -0.0882778 0.0824425 -1. 07 0 .284 -0.249862 0.0733065
Cho 0.0070667 0.002851 2 .48 0 .013 0.001479 0.0126545
TG -. 0012979 0.0013507 -o . 9 6 0 . 3 3 7 -0.003945 0.0013493
Pressure 0.0059725 0.00675 0 . 8 8 0 .376 -0.007257 0.0192021
Goe 0.1645504 0.0582545 2 . 8 2 0 .005 0.0503737 0.2787271
Gpe -0.0513203 0.0367339 -1 . 40 0 .162 -0.123318 0.0206769
ALI< -0.0023338 0.0046188 -o .51 0. 613 -0.011386 0.0067188
cons -3 .352374 1.487627 -2 .25 0 .024 -6.268068 -0.4366789
/athrho 0.12393 0.1677924 0 . 74 0 . 460 -0.204937 0.4527971
rho 0.1232994 0.1652415     -0.202115 0.4241955
biprobitFatty_typeLiver_type Age Gender BMI Hb!Ac Cho 'J'C Pressure Got Gpt ALK,
Bivariaeeprobie regression Number of obs= 150
  LR chi2(20)   = 58.34
Lcqlikelihcod = -158.66871 Prob>chi2   = 0.0000
LR <ces<c of rho=O: chi2 (1) = .550495 Prob> chi2 = 0.4581
Table 1: Result analysis of bivariate logistic model by classical method.