Coef. Std. Err. z P>lzl (95% Conf. Interval]  
Fatty_type            
Age -0.0138739 0.0135203 -1 .03 0.305 -0.040373 0.0126253
Gender 0.0034449 0.241705 0 .01 0.989 -0.470288 0.477178
BMI 0.0701801 0.0267631 2.62 0.009 0.0177254 0.1226349
HblAc -0.1545435 0.0847402 -1.82 0.068 -0.320631 .0115443
Cho -0.0001859 0.0024457 -o.08 0.939 -0.004979 0.0046076
TG 0.000825 0.001472 0 .56 0 .575 -0.00206 0.00371
Pressure 0.0074593 0.0073579 1 .01 0.311 -0.006962 0.0218805
Goe 0.1296733 . 057284 2 .26 0.024 0.0173988 0.2419479
Gpe 0.0184008 0.0386689 0 .48 0.634 -0.057389 .0941904
ALI< 0.0019094 0.0044956 0 .42 0.671 -0.006902 0.0107207
cons -2.474072 1.703948 -1 .45 0.147 -5.81375 0.8656052
Liver_type            
Age 0.0249884 .0116016 2.15 0.031 0.0022496 .0477272
Gender 0.1890935 0.2414576 0.78 0.434 -0.284155 0.6623416
BMI -0.00455 0.023124 -o.20 0.844 -0.04987 0.04077
HblAc -0.0882778 0.0835978 -1 .06 0.291 -0.252127 0.075571
Cho 0.0070667 0.0029229 2 .42 0.016 0.001338 0.0127955
TG -0.0012979 0.0013006 -1 .00 0.318 -0.003847 0.0012511
Pressure 0.0059725 0.007624 0 .78 0 .433 -0.00897 0.0209152
Goe 0.1645504 0.0522388 3. 15 0.002 0.0621643 .2669365
Gpe -0.0513203 0.031757 -1. 62 0 .106 -0.113563 0.0109223
ALI< -0.0023338 0.0041128 -o .570 0 .570 -0.010395 .0057272
cons -3.352374 1.492694 -2 .25 0 .025 -6.278 -0.4267488
/athrho 0.1239301 0.1580029 0 .78 0 .433 -0.18575 0.43361
rho 0.1232995 0.1556008     -0.183643 0.4083338
biprobitFatty_typeLiver_type Age Gender BMI Hb!Ac Cho 'J'C Pressure Got Gpt AW<, vce (robust)
Bivariaeeprobie regression Number of obs = 150
  Wald chi2(20)   = 71.71
Lcqpseudolikelihcod = -158.66871 Prob> chi2   = 0.0000
Wald test of rho=O: chi2 (1) = .61521 Prob> chi2 = 0.4328
Table 2: Result analysis of bivariate logistic model by Robust method.