Q-learning for estimating optimal dynamic treatment rules from observational data [0.03%]
基于观察性数据的最优动态治疗规则估计的Q学习方法
Erica E M Moodie,Bibhas Chakraborty,Michael S Kramer
Erica E M Moodie
The area of dynamic treatment regimes (DTR) aims to make inference about adaptive, multistage decision-making in clinical practice. A DTR is a set of decision rules, one per interval of treatment, where each decision is a function of treatm...
The effect of misspecification of random effects distributions in clustered data settings with outcome-dependent sampling [0.03%]
聚类数据且结局与样本量相关设置下随机效应分布欠拟合的影响
John M Neuhaus,Charles E McCulloch
John M Neuhaus
Genetic epidemiologists often gather outcome-dependent samples of family data to measure within-family associations of genetic factors with disease outcomes. Generalized linear mixed models provide effective methods to estimate within-famil...
Semiparametric transformation models for multivariate panel count data with dependent observation process [0.03%]
具有相关观察过程的多元面板计数数据的半参数变换模型
Ni Li,Do-Hwan Park,Jianguo Sun et al.
Ni Li et al.
This article discusses regression analysis of multivariate panel count data in which the observation process may contain relevant information about or be related to the underlying recurrent event processes of interest. Such data occur if a ...
Seo Young Park,Yufeng Liu
Seo Young Park
The penalized logistic regression (PLR) is a powerful statistical tool for classification. It has been commonly used in many practical problems. Despite its success, since the loss function of the PLR is unbounded, resulting classifiers can...
Xinyuan Song,Liuquan Sun,Xiaoyun Mu et al.
Xinyuan Song et al.
In this article, the authors consider a semiparametric additive hazards regression model for right-censored data that allows some censoring indicators to be missing at random. They develop a class of estimating equations and use an inverse ...
Longitudinal functional principal component modeling via Stochastic Approximation Monte Carlo [0.03%]
基于 stochastic approximation monte carlo 的纵向功能主成分分析模型
Josue G Martinez,Faming Liang,Lan Zhou et al.
Josue G Martinez et al.
The authors consider the analysis of hierarchical longitudinal functional data based upon a functional principal components approach. In contrast to standard frequentist approaches to selecting the number of principal components, the author...
Inference after variable selection using restricted permutation methods [0.03%]
变量选择后的统计推断：基于限制性置换方法的方法论研究
Rui Wang,Stephen W Lagakos
Rui Wang
When confronted with multiple covariates and a response variable, analysts sometimes apply a variable-selection algorithm to the covariate-response data to identify a subset of covariates potentially associated with the response, and then w...
D R Brillinger
D R Brillinger
"The purpose of this paper is to survey a number of the technical tools and models that have found use in the study of human and other populations, and to indicate some problems of current interest. These tools and models are varied: integr...