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. 2010 Nov 9;11:100. doi: 10.1186/1471-2156-11-100

Table 1.

Type 1 error and power of data sets of simulation 1

Effect (b) PCBMR Single-Trait Association
GEN ADD DOM REC GEN ADD DOM REC
0 5.1 4.5 5.3 5.6 5.7(2.8) 5.8(3.0) 6.1(2.9) 4.9(3.0)
0.1 5.8 5.4 6.2 4.7 5.6(3.1) 5.8(3.3) 5.9(3.0) 5.3(2.8)
0.2 10.8* 12 11.2 6.8 8.9(4.8) 10.9(6.1) 10.9(5.7) 6.4(3.4)
0.3 14.1* 18.8* 18.3* 9.1* 12.2(8.6) 14.4(9.2) 14.6(9.6) 7.3(4.4)
0.4 21.4* 26.8* 25.2* 11.3 15.9(10.0) 20.5(14.5) 19.9(13.1) 10.4(6.3)
0.5 31.9* 41.9* 36.7* 15.7* 24.3(14.8) 29.1(20.3) 27.3(18.1) 13.6(8.7)
0.6 45.4* 54.9* 50.1* 21.3* 31.6(23.2) 39.9(30.0) 36.1(26.7) 17.2(10.8)
0.7 60.3* 71.4* 65.0* 26.5* 41.9(31.3) 50.5(40.1) 47.2(36.9) 21.6(14.1)
0.8 71.9* 81.9* 77.3* 30.9* 53.3(43.6) 63.6(51.9) 58.2(46.9) 24.2(18.0)
0.9 81.7* 90.8* 84.3* 41.7* 62.5(50.4) 72.7(62.2) 66.1(55.6) 30.4(21.5)
1 91.4* 95.2* 92.8* 48.9* 72.8(62.8) 82.0(73.4) 76.7(67.3) 36.7(27.0)

(The values outside the parentheses are the power (b > 0) or type I error (b = 0) of the single-trait association test without multiple-test adjustment (SATN) and the values inside the parentheses are the power (b > 0) or type I error (b = 0) of the single-trait association test with Bonferroni adjustment (SATB). * indicates that the power of PCBMR is significantly better than that of SATN; GEN: general model without assumption of genetic inheritance; ADD: additive effect model; DOM: dominant model and REC: recessive model)