Estimation and inference based on Neumann series approximation to locally efficient score in missing data problems [0.03%]
基于缺失数据问题中局部有效评分的Neumann级数近似的估计和推断
Hua Yun Chen
Hua Yun Chen
Theory on semiparametric efficient estimation in missing data problems has been systematically developed by Robins and his coauthors. Except in relatively simple problems, semiparametric efficient scores cannot be expressed in closed forms....
Diagnostic Measures for Generalized Linear Models with Missing Covariates [0.03%]
缺失协变量的广义线性模型的诊断指标研究
Hongtu Zhu,Joseph G Ibrahim,Xiaoyan Shi
Hongtu Zhu
In this paper, we carry out an in-depth investigation of diagnostic measures for assessing the influence of observations and model misspecification in the presence of missing covariate data for generalized linear models. Our diagnostic meas...
Inconsistency of the MLE for the Joint Distribution of Interval-Censored Survival Times and Continuous Marks [0.03%]
区间截断生存时间和连续标记的联合分布MLE的一致性问题
Marloes H Maathuis,Jon A Wellner
Marloes H Maathuis
This paper considers the non-parametric maximum likelihood estimator (MLE) for the joint distribution function of an interval-censored survival time and a continuous mark variable. We provide a new explicit formula for the MLE in this probl...
The Support Reduction Algorithm for Computing Non-Parametric Function Estimates in Mixture Models [0.03%]
混合模型中计算非参数函数估计的支持减少算法
Piet Groeneboom,Geurt Jongbloed,Jon A Wellner
Piet Groeneboom
In this paper, we study an algorithm (which we call the support reduction algorithm) that can be used to compute non-parametric M-estimators in mixture models. The algorithm is compared with natural competitors in the context of convex regr...
Non-parametric Estimation of a Survival Function with Two-stage Design Studies [0.03%]
两阶段设计研究中的生存函数的非参数估计方法
Gang Li,Chi-Hong Tseng
Gang Li
The two-stage design is popular in epidemiology studies and clinical trials due to its cost effectiveness. Typically, the first stage sample contains cheaper and possibly biased information, while the second stage validation sample consists...