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. Author manuscript; available in PMC: 2013 Aug 8.
Published in final edited form as: Comput Methods Programs Biomed. 2008 May 6;91(2):122–127. doi: 10.1016/j.cmpb.2008.03.001

Table 2.

Minimum total sample size based on the number of time points, the expected marginal probabilities of the outcome, and the within-subject covariance structure and correlation a

Number of time points Probabilities Compound symmetry (CS) within-subject covariance structure and correlation First-order autocorrelation (AR(1)) within-subject covariance structure and correlation
p1 p2 ρ = 0.2 ρ = 0.5 ρ = 0.8 ρ = 0.2 ρ = 0.5 ρ = 0.8
T = 3 0.1 0.2 152 214 276 140 192 260
0.3 52 74 94 48 66 88
0.4 30 42 52 28 38 50
0.5 22 28 36 20 26 34
0.2 0.3 224 314 402 206 282 380
0.4 68 92 118 62 84 112
0.5 34 48 60 32 42 56
0.3 0.4 280 386 492 254 348 466
0.5 76 106 134 70 96 126
0.4 0.5 308 424 540 280 382 512
T = 6 0.1 0.2 110 188 264 76 122 206
0.3 40 64 90 28 42 70
0.4 24 38 52 16 26 40
0.5 22 26 34 12 18 28
0.2 0.3 166 276 386 114 180 302
0.4 50 82 114 34 54 88
0.5 26 42 58 18 28 46
0.3 0.4 208 342 474 140 222 370
0.5 58 94 130 40 62 102
0.4 0.5 230 376 520 156 244 406
a

Estimates are for the minimum total sample required in two groups, with a sample allocation ratio of 1:1, for comparison of event probabilities p1 and p1 assumed to be constant over time, with use of the logit link for various values T, p1, p1, and ρ. Estimates shown are for setting the random effects to G = 1, type I error to 0.05, and type II error to 0.20.