135 00000 0000000 144 Stata命令如下 结果 Source SS df MS Number of obs 18 F(3,14)=83.88 Model717.6845573239.228186 Prob>F=0.0000 Residual|39.9265537142.85189609 =0.9473 Ad j r-se quare= Tota1757.611111744.5653595 =1.6888 Coef. Std. Err t p>t [95% Conf. Interval] x|1.067797.17951275.950.00 68278011.452813 0.773 g2|-2.5875712.202234-1.170.260-7.3108932.135752 cons 102.56216.05306716.940.000 89.57961115.5447 g1代表曾服药者和未服药者的比较,p=0773,说明曾服药者和未服药者血 糖平均水平没有差别。g2代表现服药者和未服药者的比较,p=0.260,说明现服 药者和未服药者血糖平均水平没有差别 接着比较曾服药者和现服药者: gl=g 结果 F(1,14)=2 Prob>F=0.1252 P=0.1252,曾服药者和现服药者血糖平均水平没有差别。30 136 1 0 28 135 0 0 32 137 0 0 34 138 0 0 35 137 0 0 35 139 0 0 37 144 0 0 Stata 命令如下： reg y x g1 g2 结果： Source | SS df MS Number of obs = 18 -------------+------------------------------ F( 3, 14) = 83.88 Model | 717.684557 3 239.228186 Prob > F = 0.0000 Residual | 39.9265537 14 2.85189669 R-squared = 0.9473 -------------+------------------------------ Adj R-squared = 0.9360 Total | 757.611111 17 44.5653595 Root MSE = 1.6888 ------------------------------------------------------------------------------ y | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- x | 1.067797 .1795127 5.95 0.000 .6827801 1.452813 g1 | -.4265537 1.452834 -0.29 0.773 -3.542572 2.689465 g2 | -2.587571 2.202234 -1.17 0.260 -7.310893 2.135752 _cons | 102.5621 6.053067 16.94 0.000 89.57961 115.5447 ------------------------------------------------------------------------------ g1 代表曾服药者和未服药者的比较，p=0.773，说明曾服药者和未服药者血 糖平均水平没有差别。g2 代表现服药者和未服药者的比较，p=0.260，说明现服 药者和未服药者血糖平均水平没有差别。 接着比较曾服药者和现服药者： test g1= g2 结果： ( 1) g1 - g2 = 0 F( 1, 14) = 2.66 Prob > F = 0.1252 P=0.1252，曾服药者和现服药者血糖平均水平没有差别