Omar Melikechi,Jeffrey W Miller
Omar Melikechi
Stability selection is a popular method for improving feature selection algorithms. One of its key attributes is that it provides theoretical upper bounds on the expected number of false positives, E(FP), enabling false positive control in ...
On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching Regularization [0.03%]
关于通过RLHF与大型语言模型对齐的算法偏见：偏好坍塌和匹配正则化
Jiancong Xiao,Ziniu Li,Xingyu Xie et al.
Jiancong Xiao et al.
Accurately aligning large language models (LLMs) with human preferences is crucial for informing fair, economically sound, and statistically efficient decision-making processes. However, we argue that the predominant approach for aligning L...
Online Auction Design Using Distribution-Free Uncertainty Quantification with Applications to E-Commerce [0.03%]
基于电子商务应用的分布无关不确定量化的在线拍卖设计
Jiale Han,Xiaowu Dai
Jiale Han
Online auction is a cornerstone of e-commerce, and a key challenge is designing incentive-compatible mechanisms that maximize expected revenue. Existing approaches often assume known bidder value distributions and fixed sets of bidders and ...
Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation [0.03%]
引入辅助变量以提高时间变化处理效应估计的效率
Jieru Shi,Zhenke Wu,Walter Dempsey
Jieru Shi
The use of smart devices (e.g., smartphones, smartwatches) and other wearables to deliver digital interventions to improve health outcomes has grown significantly in the past few years. Mobile health (mHealth) systems are excellent tools fo...
Inference in generalized linear models with robustness to misspecified variances [0.03%]
具有稳健性误指定方差的广义线性模型中的推理
Riccardo De Santis,Jelle J Goeman,Samuel Joseph Davenport et al.
Riccardo De Santis et al.
Generalized linear models usually assume a common dispersion parameter, an assumption that is seldom true in practice. Consequently, standard parametric methods may suffer appreciable loss of type I error control. As an alternative, we pres...
J E Borgert,Jan Hannig,J D Tucker et al.
J E Borgert et al.
Osteoarthritis (OA) is a highly prevalent degenerative joint disease, and the knee is the most commonly affected joint. Biomechanical factors, particularly forces exerted during walking, are often measured in modern studies of knee joint in...
Chenqi Fu,Shouhao Zhou,J Jack Lee
Chenqi Fu
Interval-based designs represent cutting-edge adaptive methodologies for phase I clinical trials to identify the maximum tolerated dose (MTD). These designs exhibit robust performance comparable to more intricate, model-based designs, and t...
Checking the Cox Proportional Hazards Model with Interval-Censored Data [0.03%]
区间删失数据下的Cox比例风险模型的检验
Yangjianchen Xu,Donglin Zeng,D Y Lin
Yangjianchen Xu
This article presents a general framework for checking the adequacy of the Cox proportional hazards model with interval-censored data, which arise when the event of interest is known only to occur over a random time interval. Specifically, ...
Analysis of gap times based on panel count data with informative observation times and unknown start time [0.03%]
基于观察时间存在信息且起始时间未知的横断面计数数据下的间隔时间分析
Ling Ma,Rajeshwari Sundaram
Ling Ma
In biomedical studies, one is often interested in repeat events with longitudinal observations occurring only intermittently, resulting in panel count data. The first stage of labor, measured through unit-increments of cervical dilation in ...
The Effect of Alcohol Intake on Brain White Matter Microstructural Integrity: A New Causal Inference Framework for Incomplete Phenomic Data [0.03%]
饮酒对大脑白质微结构完整性影响的因果推断新框架及不完备表型组数据下的效应估计
Chixiang Chen,Shuo Chen,Zhenyao Ye et al.
Chixiang Chen et al.
Although substance use, such as alcohol intake, is known to be associated with cognitive decline during aging, its direct influence on the central nervous system remains incompletely understood. In this study, we investigate the influence o...