Rachael Liu

Incorporating historical information to improve dose optimization design with toxicity and efficacy endpoints: iBOIN‐ET

Yunqi Zhao, Kentaro Takeda, Rachael Liu, 2022, Pharmaceutical statistics.

Flexible Seamless 2-in-1 Design with Sample Size Adaptation

Jianchang Lin, Runjia Li, Liwen Wu, 2022, 2212.11433.

PMED: Optimal Bayesian Platform Trial Design with Multiple Endpoints

Jianchang Lin, Meizi Liu, Rachael Liu, 2022, Journal of biopharmaceutical statistics.

Machine Learning and Artificial Intelligence in Pharmaceutical Research and Development: a Review

S. Kolluri, Jianchang Lin, Rachael Liu, 2022, The AAPS Journal.

BEATS: Bayesian hybrid design with flexible sample size adaptation for time‐to‐event endpoints

Rachael Liu, Dehua Bi, Meizi Liu, 2023, Statistics in medicine.

A Bayesian platform trial design with hybrid control based on multisource exchangeability modelling

Wei Wei, D. Esserman, Rachael Liu, 2024, Statistics in medicine.

DOD-Combo: Bayesian dose finding design in combination trials with meta-analytic-predictive prior.

Rachael Liu, Meizi Liu, Jianchang Lin, 2024, Journal of biopharmaceutical statistics.