MM ALGORITHMS FOR VARIANCE COMPONENT ESTIMATION AND SELECTION IN LOGISTIC LINEAR MIXED MODEL [0.03%]
逻辑线性混合模型中的方差成分估计与选择的MM算法
Liuyi Hu,Wenbin Lu,Jin Zhou et al.
Liuyi Hu et al.
Logistic linear mixed models are widely used in experimental designs and genetic analyses of binary traits. Motivated by modern applications, we consider the case of many groups of random effects, where each group corresponds to a variance ...
Tzu-Jung Huang,Ian W McKeague,Min Qian
Tzu-Jung Huang
This study develops a marginal screening test to detect the presence of significant predictors for a right-censored time-to-event outcome under a high-dimensional accelerated failure time (AFT) model. Establishing a rigorous screening test ...
Large-Scale Simultaneous Testing of Cross-Covariance Matrices with Applications to PheWAS [0.03%]
大规模交叉协方差矩阵的联合检验及其在表型全基因组关联分析中的应用
Tianxi Cai,T Tony Cai,Katherine Liao et al.
Tianxi Cai et al.
Motivated by applications in phenome-wide association studies (PheWAS), we consider in this paper simultaneous testing of columns of high-dimensional cross-covariance matrices and develop a multiple testing procedure with theoretical guaran...
USING PROFILE LIKELIHOOD FOR SEMIPARAMETRIC MODEL SELECTION WITH APPLICATION TO PROPORTIONAL HAZARDS MIXED MODELS [0.03%]
运用部分概型似然进行半参数模型选择及其在比例风险混合模型中的应用
Ronghui Xu,Florin Vaida,David P Harrington
Ronghui Xu
We consider selection of nested and non-nested semiparametric models. Using profile likelihood we can define both a likelihood ratio statistic and an Akaike information for models with nuisance parameters. Asymptotic quadratic expansion of ...
FMEM: Functional Mixed Effects Models for Longitudinal Functional Responses [0.03%]
用于纵向功能反应的功能混合效应模型
Hongtu Zhu,Kehui Chen,Xinchao Luo et al.
Hongtu Zhu et al.
The aim of this paper is to conduct a systematic and theoretical analysis of estimation and inference for a class of functional mixed effects models (FMEM). Such FMEMs consist of fixed effects that characterize the association between longi...
Min Qian,Bin Cheng
Min Qian
Pei Li,Sudipto Banerjee,Timothy A Hanson et al.
Pei Li et al.
With increasing accessibility to Geographical Information Systems (GIS) software, researchers and administrators in public health routinely encounter areal data compiled as aggregates over areal regions, such as counts or rates across count...
Jianqing Fan,Runlong Tang,Xiaofeng Shi
Jianqing Fan
Penalized estimation principle is fundamental to high-dimensional problems. In the literature, it has been extensively and successfully applied to various models with only structural parameters. As a contrast, in this paper, we first apply ...
SEMIPARAMETRIC TRANSFORMATION MODELS WITH MULTILEVEL RANDOM EFFECTS FOR CORRELATED DISEASE ONSET IN FAMILIES [0.03%]
带有多层次随机效应的关联疾病发病的半参数变换模型
Baosheng Liang,Yuanjia Wang,Donglin Zeng
Baosheng Liang
Large cohort studies are commonly launched to study risk of genetic variants or other risk factors on age at onset (AAO) of a chronic disorder. In these studies, family history data including AAO of disease in family members are collected t...
Shinichiro Shirota,Alan E Gelfand,Sudipto Banerjee
Shinichiro Shirota
Species distribution models usually attempt to explain presence-absence or abundance of a species at a site in terms of the environmental features (so-called abiotic features) present at the site. Historically, such models have considered s...