A longitudinal Model for repeated interval-observed data with informative dropouts [0.03%]
具有信息丢失的重复区间观察数据的纵向模型
Huichao Chen,Amita K Manatunga
Huichao Chen
We consider repeated measures interval-observed data with informative dropouts. We model the repeated outcomes via an unobserved random intercept and it is assumed that the probability of dropout during the study period is linearly related ...
Minghui Shi,David B Dunson
Minghui Shi
We focus on Bayesian variable selection in regression models. One challenge is to search the huge model space adequately, while identifying high posterior probability regions. In the past decades, the main focus has been on the use of Marko...
An adaptive nonparametric method in benchmark analysis for bioassay and environmental studies [0.03%]
生物测定和环境研究中基准分析的自适应非参数方法
Rabi Bhattacharya,Lizhen Lin
Rabi Bhattacharya
We present a novel nonparametric method for bioassay and benchmark analysis in risk assessment, which averages isotonic MLEs based on disjoint subgroups of dosages. The asymptotic theory for the methodology is derived, showing that the MISE...
M Al Kadiri,R J Carroll,M P Wand
M Al Kadiri
We study the marginal longitudinal nonparametric regression problem and some of its semiparametric extensions. We point out that, while several elaborate proposals for efficient estimation have been proposed, a relative simple and straightf...
Jiajia Zhang,Yingwei Peng
Jiajia Zhang
Crossing hazard functions have extensive applications in modeling survival data. However, existing studies in the literature mainly focus on comparing crossed hazard functions and estimating the time at which the hazard functions cross, and...
Ying Guo,Amita K Manatunga
Ying Guo
Assessing agreement is often of interest in biomedical sciences to evaluate the similarity of measurements produced by different raters or methods on the same subjects. We investigate the agreement structure for a class of frailty models th...
Hemant Ishwaran,Udaya B Kogalur
Hemant Ishwaran
We prove uniform consistency of Random Survival Forests (RSF), a newly introduced forest ensemble learner for analysis of right-censored survival data. Consistency is proven under general splitting rules, bootstrapping, and random selection...
On an asymptotic distribution of dependent random variables on a 3-dimensional lattice [0.03%]
关于三维格点上依赖随机变量的一个渐近分布
Danielle J Harvey,Qian Weng,Laurel A Beckett
Danielle J Harvey
We define conditions under which sums of dependent spatial data will be approximately normally distributed. A theorem on the asymptotic distribution of a sum of dependent random variables defined on a 3-dimensional lattice is presented. Exa...
Hua Yun Chen
Hua Yun Chen
A conditionally specified joint model is convenient to use in fields such as spatial data modeling, Gibbs sampling, and missing data imputation. One potential problem with such an approach is that the conditionally specified models may be i...
On L convergence of Neumann series approximation in missing data problems [0.03%]
缺失数据问题中Neumann级数展开的L收敛性研究
Hua Yun Chen
Hua Yun Chen
The inverse of the nonparametric information operator is key to finding doubly robust estimators and the semiparametric efficient estimator in missing data problems. It is known that no closed-form expression for the inverse of the nonparam...