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Assumption-lean covariate adjustment under covariate adaptive randomization when $p = o (n)$ Assumption-lean covariate adjustment under covariate adaptive randomization when $p = o (n)$

Yujia Gu · Lin Liu · Wei Ma首次提交 2025-12-23 · 修订 2025-12-23 · v1arXiv预印本

协变量自适应随机化下 p=o(n) 的弱模型假设协变量调整AI 解读

Adjusting for (baseline) covariates with working regression models becomes standard practice in the analysis of randomized clinical trials (RCT). When the dimension $p$ of the covariates is large relative to the sample size $n$ , specifically $p = o (n)$ , adjusting for covariates even in a linear working model by ordinary least squares can yield overly large bias, defeating the purpose of improving efficiency. This issue arises when no structural assumptions are imposed on…Adjusting for (baseline) covariates with working regression models becomes standard practice in the analysis of randomized clinical trials (RCT). When the dimension $p$ of the covariates is large relative to the sample size $n$, specifically $p = o (n)$, adjusting for covariates even in a linear working model by ordinary least squares can yield overly large bias, defeating the purpose of improving efficiency. This issue arises when no structural assumptions are imposed on…

微观 · 因果推断

关联记录被引 0 次 ↗OpenAlex · 核验 2026-10-01

AI 解读阅读原文 ↗BibTeX ↓

Incorporating external data for analyzing randomized clinical trials: A transfer learning approach

Yujia Gu · Hanzhong Liu · Wei Ma首次提交 2024-09-06 · 修订 2024-09-06 · v1arXiv预印本

利用外部数据分析随机临床试验：迁移学习方法AI 解读

Randomized clinical trials are the gold standard for analyzing treatment effects, but high costs and ethical concerns can limit recruitment, potentially leading to invalid inferences. Incorporating external trial data with similar characteristics into the analysis using transfer learning appears promising for addressing these issues. In this paper, we present a formal framework for applying transfer learning to the analysis of clinical trials, considering three key…

微观 · 因果推断半参数与非参数正则化与变量选择

关联记录被引 0 次 ↗OpenAlex · 核验 2026-09-30

AI 解读阅读原文 ↗BibTeX ↓

Assumption-lean covariate adjustment under covariate adaptive randomization when p=o(n)p = o (n)p=o(n)Assumption-lean covariate adjustment under covariate adaptive randomization when $p = o (n)$

Incorporating external data for analyzing randomized clinical trials: A transfer learning approach

Assumption-lean covariate adjustment under covariate adaptive randomization when $p = o (n)$ Assumption-lean covariate adjustment under covariate adaptive randomization when $p = o (n)$