A bootstrap method to calculate the p-value of Fisher’s combination for a large number of weakly dependent p-values

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.

Keywords:

• Dependent data bootstrap scheme
• Fisher’s combination method for p-values
• meta-analysis

Data availability

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Additional information

Funding

Z. Li is partially supported by the self-determined research funds of Central China Normal University from the colleges’ basic research of MOE(CCNU20TS002).