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1 25OHD, explaining 7.0% of the variance of 25OHD levels and providing >=90% power to detect an odds ratio (OR) of <= 0.97
5 mbined sample of 831 ASPs, all with both parents genotyped, provided 90% power to detect linkage for loci with lambda(s)
6 The analysis of a large number of individuals provided the power to detect relatively small differences in
7 The 2070 patients with wild-type KRAS provided 90% power to detect a hazard ratio (HR) of 1.33 (2-s
8 llion markers in 1,000 case-parent trios, the 2-step method provides 87% power to detect a G x E interaction relative ris
10 Local false discovery rate (fdr) methods provide more power to detect non-null associations, but impli
11 A random selection of individuals may not provide sufficient power to detect linkage until a large samp
12 g-rank test with alpha = .15; 80 randomly assigned patients provided 89% power to detect a hazard ratio (HR) of 1.67.
13 The small number of diabetic patients provided limited power to detect significant differences betw
15 36% for Thr(45) and an odds ratio (OR) of 1.2, this sample provided >99% power to detect an association (P < 0.05).
17 , sampling from the high extreme of the distribution should provide increased power to detect associations.
22 A planned sample size of 300 patients was projected to provide 81% power to detect an EFS hazard ratio of 0.67 or sm
23 s with a total sample of size 50 (25 animals/arm) typically provide adequate power to detect a 50% reduction in the per-e
24 hanisms remain contentious, as a handful of markers usually provides little power to detect inbreeding.
25 ing 384 (95%CI 195-1080) amyloid-positive subjects/arm will provide 80% power to detect 25% absolute slowing of hippocamp
27 data, we determined that a sample size of 88 subjects would provide 90% power to detect a 5-mm Hg difference in mean mitr