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stat.ME2026
Integrating Heterogeneous Information in Randomized Experiments: A Unified Calibration Framework
Wei Ma, Zeqi Wu, Zheng Zhang
In modern randomized experiments, large-scale data collection increasingly yields rich baseline covariates and auxiliary information from multiple sources. Such information offers…
stat.ME2026
A General (Non-Markovian) Framework for Covariate Adaptive Randomization: Achieving Balance While Eliminating the Shift
Hengjia Fang, Wei Ma
Emerging applications increasingly demand flexible covariate adaptive randomization (CAR) methods that support unequal targeted allocation ratios. While existing procedures can ach…