wpgsd: Weighted Parametric Group Sequential Design

Adjusted inference for weighted parametric group sequential design. Weighted parametric group sequential design (WPGSD) by Anderson et al. (2022) doi:10.1002/bimj.202100085 allows one to take advantage of the known correlation structure in constructing efficacy bounds to control family-wise error rate (FWER) for a group sequential design. Here, correlation may be due to common observations in nested populations, due to common observations in overlapping populations, or due to common observations in the control arm.

See also

Useful links:

• https://merck.github.io/wpgsd/

• https://github.com/Merck/wpgsd

• Report bugs at https://github.com/Merck/wpgsd/issues

Author

Maintainer: Yujie Zhao yujie.zhao@merck.com

Authors:

• Keaven Anderson keaven_anderson@merck.com

• Zifang Guo zifang.guo@merck.com

• Jing Zhao jing_zhaox@merck.com

• Linda Sun linda_sun@merck.com

• Yi Cui yi.cui@merck.com

• Larry Leon larry.leon2@merck.com

Other contributors:

• Merck Sharp & Dohme Corp [copyright holder]