. Author manuscript; available in PMC: 2009 Nov 27.

Published in final edited form as: J Biopharm Stat. 2008;18(6):1084–1102. doi: 10.1080/10543400802369012

Table 1.

Type I error for each test and for each algorithm.

Test	Algorithm	N = 40		N = 200

		K	Type I error (%)	K	Type I error (%)
ANOVA	FO	997	5.9	1000	4.4
ANOVA	FOCE	986	5.6	982	5.1

Wald	FO	975	23.4^*	984	10.3^*
Wald	FOCE	924	11.7^*	860	6.5^*

LRT	FO	989	46.9^*	977	54.0^*
LRT	FOCE	964	7.9^*	956	5.0

K is the number of data sets on which the test could be performed.

Estimate significantly different from 5%.