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stat.ME2025
SLOACI: Surrogate-Leveraged Online Adaptive Causal Inference
Yingying Fan, Zihan Wang, Waverly Wei
Adaptive experimental designs have gained increasing attention across a range of domains. In this paper, we propose a new methodological framework, surrogate-leveraged online adapt…
stat.ME2025
Can Language Models Boost the Power of Randomized Experiments Without Statistical Bias?
Xinrui Ruan, Xinwei Ma, Yingfei Wang +2
Randomized controlled trials (RCTs) are widely adopted for causal inference, yet cost and sample-size constraints limit power. We introduce CALM (Causal Analysis leveraging Languag…
stat.ME2025
Covariate-Adjusted Response-Adaptive Design with Delayed Outcomes
Xinwei Ma, Jingshen Wang, Waverly Wei
Covariate-adjusted response-adaptive (CARA) designs have gained widespread adoption for their clear benefits in enhancing experimental efficiency and participant welfare. These des…