Covariate-assisted bounds on causal effects with instrumental variables [0.03%]
借助工具变量的协变量辅助因果效应界估计方法
Alexander W Levis,Matteo Bonvini,Zhenghao Zeng et al.
Alexander W Levis et al.
When an exposure of interest is confounded by unmeasured factors, an instrumental variable (IV) can be used to identify and estimate certain causal contrasts. Identification of the marginal average treatment effect (ATE) from IVs relies on ...
Product Centred Dirichlet Processes for Bayesian Multiview Clustering [0.03%]
基于产品中心Dirichlet过程的贝叶斯多视图聚类方法
Alexander Dombowsky,David B Dunson
Alexander Dombowsky
While there is an immense literature on Bayesian methods for clustering, the multiview case has received little attention. This problem focuses on obtaining distinct but statistically dependent clusterings in a common set of entities for di...
Shu Yang,Peng Ding
Shu Yang
Rejective sampling improves design and estimation efficiency of single-phase sampling when auxiliary information in a finite population is available. When such auxiliary information is unavailable, we propose to use two-phase rejective samp...
Anav Sood,Trevor Hastie
Anav Sood
We consider the problem of selecting a small subset of representative variables from a large dataset. In the computer science literature, this dimensionality reduction problem is typically formalized as column subset selection (CSS). Meanwh...
Causal mediation analysis: selection with asymptotically valid inference [0.03%]
有合理推断的因果中介分析：选择与渐近有效推理
Jeremiah Jones,Ashkan Ertefaie,Robert L Strawderman
Jeremiah Jones
Researchers are often interested in learning not only the effect of treatments on outcomes, but also the mechanisms that transmit these effects. A mediator is a variable that is affected by treatment and subsequently affects outcome. Existi...
Tian Gu,Yi Han,Rui Duan
Tian Gu
Transfer learning improves target model performance by leveraging data from related source populations, especially when target data are scarce. This study addresses the challenge of training high-dimensional regression models with limited t...
Denis Agniel,Layla Parast
Denis Agniel
The development of statistical methods to evaluate surrogate markers is an active area of research. In many clinical settings, the surrogate marker is not simply a single measurement but is instead a longitudinal trajectory of measurements ...
Tyler J. VanderWeele's contribution to the Discussion of 'Vintage Factor Analysis with Varimax Performs Statistical Inference' by Rohe & Zeng [0.03%]
泰勒·J·范德维利对罗赫和曾格论文《古典因素分析与瓦尔米克斯最大化实现统计推断》的评论贡献
Tyler J VanderWeele
Tyler J VanderWeele
A focusing framework for testing bi-directional causal effects in Mendelian randomization [0.03%]
一种用于梅纳德尔随机化中双向因果效应检验的聚焦框架
Sai Li,Ting Ye
Sai Li
Mendelian randomization (MR) is a powerful method that uses genetic variants as instrumental variables to infer the causal effect of a modifiable exposure on an outcome. We study inference for bi-directional causal relationships and causal ...
Xiaowu Dai
Xiaowu Dai
Traditional nonparametric estimation methods often lead to a slow convergence rate in large dimensions and require unrealistically large dataset sizes for reliable conclusions. We develop an approach based on partial derivatives, either obs...