Abstract
In this paper, we propose an effective bootstrap algorithm to calculate the p-value of Fisher’s combination for a large number of weakly dependent p-values. The proposed bootstrap algorithm is based on the stationary bootstrap idea for dependent observations. The proposed bootstrap algorithm can control empirical sizes well and gain desirable empirical powers by extensive simulations. We also apply the bootstrap algorithm to a real data analysis about coronary artery disease.
Data availability
The data that support the findings of this study are available from the corresponding author upon reasonable request.