From: Optimizing the maximum reported cluster size for the multinomial-based spatial scan statistic
Setting | True cluster model | Alternative hypothesisa |
---|---|---|
Single cluster | (A) One circular-shaped cluster (8%) (B) One elliptic-shaped cluster (8%) (C) One irregular-shaped cluster (15%) | (1) p(1) = (0.05, 0.15, 0.35, 0.45) |
(2) p(1) = (0.05, 0.25, 0.25, 0.45) | ||
(3) p(1) = (0.10, 0.10, 0.40, 0.40) | ||
(4) p(1) = (0.15, 0.15, 0.15, 0.55) | ||
Two homogeneous clusters | (D) Two circular-shaped clusters (8% each) (E) Two elliptic-shaped clusters (8% each) | (1) p(1) = p(2) = (0.05, 0.15, 0.35, 0.45) |
(2) p(1) = p(2) = (0.05, 0.25, 0.25, 0.45) | ||
(3) p(1) = p(2) = (0.10, 0.10, 0.40, 0.40) | ||
(4) p(1) = p(2) = (0.15, 0.15, 0.15, 0.55) | ||
Two heterogeneous clusters | (D) Two circular-shaped clusters (8% each) (E) Two elliptic-shaped clusters (8% each) | (5) p(1) = (0.05, 0.15, 0.35, 0.45), p(2) = (0.05, 0.25, 0.25, 0.45) |
(6) p(1) = (0.05, 0.15, 0.35, 0.45), p(2) = (0.10, 0.10, 0.40, 0.40) | ||
(7) p(1)= (0.05, 0.15, 0.35, 0.45), p(2) = (0.15, 0.15, 0.15, 0.55) |