Table 2.

Conditional permutation test applied with nominal significance levels to simulated data in circular study region

N = 400	α = 0.01 Type I Error (95%CI)	α = 0.05 Type I Error (95%CI)	α = 0.10 Type I Error (95%CI)
P(Disease)=0.01	0.028 (0.018,0.038)	0.077 (0.06,0.094)	0.159 (0.136,0.182)
P(Disease)=0.10	0.027 (0.017,0.037)	0.1 (0.081,0.119)	0.182 (0.158,0.206)
P(Disease)=0.50	0.031 (0.02,0.042)	0.1 (0.081,0.119)	0.185 (0.161,0.209)
N = 1,000	α = 0.01 Type I Error (95%CI)	α = 0.05 Type I Error (95%CI)	α = 0.10 Type I Error (95%CI)
P(Disease)=0.01	0.023 (0.014,0.032)	0.091 (0.073,0.109)	0.156 (0.134,0.178)
P(Disease)=0.10	0.025 (0.015,0.035)	0.094 (0.076,0.112)	0.173 (0.150,0.196)
P(Disease)=0.50	0.027 (0.017,0.037)	0.109 (0.090,0.128)	0.180 (0.156,0.204)
N = 1,600	α = 0.01 Type I Error (95%CI)	α = 0.05 Type I Error (95%CI)	α = 0.10 Type I Error (95%CI)
P(Disease)=0.01	0.017 (0.009,0.025)	0.097 (0.079,0.115)	0.187 (0.163,0.211)
P(Disease)=0.10	0.021 (0.012,0.030)	0.088 (0.070,0.106)	0.147 (0.125,0.169)
P(Disease)=0.50	0.023 (0.014,0.032)	0.094 (0.076,0.112)	0.169 (0.146,0.192)
N = 6,400	α = 0.01 Type I Error (95%CI)	α = 0.05 Type I Error (95%CI)	α = 0.10 Type I Error (95%CI)
P(Disease)=0.01	0.028 (0.018,0.038)	0.098 (0.080,0.116)	0.167 (0.144,0.190)
P(Disease)=0.10	0.026 (0.016,0.036)	0.092 (0.074,0.110)	0.171 (0.148,0.194)
P(Disease)=0.50	0.032 (0.021,0.043)	0.105 (0.086,0.124)	0.194 (0.169,0.219)