Sample size calculation for microarray experiments with blocked one-way design

BMC Bioinformatics

Table 2 Q₂ (Q₁, Q₃)/n, where n is the sample size and Q_k(k = 1, 2, 3) are the k-th quartile of the empirical true rejections from N = 1000 simulations

		Based on the chi-square approximation
m ₁	r ₁	q* = 1%	5%	10%
= (1/4, 0, -1/4)
40	12	11 (9, 13)/123	10 (8, 13)/100	11 (8, 14)/90
	24	23 (20, 26)/166	23 (21, 26)/138	23 (21, 25)/125
	36	36 (34, 37)/242	36 (34, 37)/207	36 (35, 37)/191
200	60	56 (49, 61)/100	55 (47, 61)/77	55 (49, 61)/67
	120	115 (109, 120)/138	118 (112, 124)/110	117 (110, 122)/96
	180	179 (176, 182)/207	178 (176, 182)/171	179 (175, 182)/154
= (1/4, -1/2, 1/4)
40	12	8 (6, 10)/41	8 (5, 10)/34	7 (5, 10)/30
	24	21 (19, 23)/56	21 (18, 24)/46	21 (19, 24)/42
	36	35 (33, 37)/81	35 (34, 36)/70	36 (34, 37)/64
200	60	42 (36, 48)/34	41 (35, 47)/26	44 (36, 52)/23
	120	103 (98, 109)/46	108 (101, 114)/37	104 (98, 111)/32
	180	176 (173, 180)/70	177 (173, 180)/57	178 (174, 180)/52
		Based on the F-distribution
m ₁	r ₁	q* = 1%	5%	10%
= (1/4, 0, -1/4)
40	12	12 (10, 15)/129	12 (10, 14)/104	12 (10, 15)/94
	24	24 (21, 27)/171	25 (23, 27)/142	24 (22, 26)/129
	36	36 (35, 37)/246	36 (35, 38)/211	36 (35, 38)/194
200	60	60 (55, 66)/104	61 (54, 66)/80	62 (54, 70)/70
	120	123 (117, 128)/142	122 (118, 128)/113	120 (114, 126)/99
	180	179 (177, 184)/211	180 (177, 183)/174	181 (178, 184)/157
= (1/4, -1/2, 1/4)
40	12	13 (10, 15)/47	13 (10, 15)/38	13 (10, 16)/34
	24	23 (21, 26)/60	25 (23, 27)/50	25 (23, 27)/46
	36	36 (35, 37)/86	35 (35, 38)/73	36 (34, 37)/67
200	60	61 (55, 67)/38	66 (60, 72)/30	66 (59, 71)/26
	120	121 (116, 127)/50	123 (116, 128)/40	121 (116, 126)/35
	180	180 (177, 183)/73	181 (177, 184)/60	182 (178, 185)/55

ISSN: 1471-2105