Publications

Jack M. Wolf, David M. Vock, Xianghua Luo, Dorothy K. Hatsukami, F. Joseph McClernon, Joseph S. Koopmeiners (2024). Leveraging Information from Secondary Endpoints to Enhance Dynamic Borrowing Across Subpopulations. Biometrics 80(4).

Jack M. Wolf, Joseph S. Koopmeiners, David M. Vock (2024). Commentary on Chen et al. (2022): The need for continued methodological research on leveraging information in secondary endpoints for more efficient RCTs. Contemporary Clinical Trials.

Chuyu Deng, Jack M. Wolf, David M. Vock, Dana M. Carroll, Jeffrey A. Boatman, Dorothy K. Hatsukami, Ning Leng, Joseph S. Koopmeiners (2023). Practical guidance on modeling choices for the virtual twins method. Journal of Biopharmaceutical Statistics.

Angela M. Zigarelli, Hanna M. Venera, Brody A. Receveur, Jack M. Wolf, Jason Westra, Nathan L. Tintle (2023). Multimarker omnibus tests by leveraging individual marker summary statistics from large biobanks. Annals of Human Genetics.

Jack M. Wolf, Joseph S. Koopmeiners, David M. Vock (2022). A permutation procedure to detect heterogeneous treatment effects in randomized clinical trials while controlling the type I error rate. Clinical Trials 19(5).

Jack M. Wolf, Jason Westra, Nathan Tintle (2021). Using summary statistics to model multiplicative combinations of initially analyzed phenotypes with a flexible choice of covariates. Frontiers in Genetics, 12.

Jack M. Wolf, Martha Barnard, Xueting Xia, Nathan Ryder, Jason Westra, Nathan Tintle (2020). Computationally efficient, exact covariate-adjusted multivariate methods for genetic analysis leveraging summary statistics from large biobanks. Pacific Symposium on Biocomputing, 25(1).