A model specification test for semiparametric nonignorable missing data modeling [0.03%]
非忽略缺失半参数模型的模型规范检验
Cheng Yong Tang
Cheng Yong Tang
The instrumental variable approaches have been demonstrated effective for semiparametrically modeling the propensity function in analyzing data that may be missing not at random. A model specification test is considered for a class of parsi...
Christiana Kartsonaki,D R Cox
Christiana Kartsonaki
The simplest form of retrospective study allows the reconstruction of the dependence between a binary outcome, Y , representing the contrast between cases and controls, and one or more explanatory variables. A different objective for such ...
Constructing a polygenic risk score for childhood obesity using functional data analysis [0.03%]
利用功能数据分析构建儿童肥胖的多基因风险评分
Sarah J C Craig,Ana M Kenney,Junli Lin et al.
Sarah J C Craig et al.
Obesity is a highly heritable condition that affects increasing numbers of adults and, concerningly, of children. However, only a small fraction of its heritability has been attributed to specific genetic variants. These variants are tradit...
A Hierarchical Bayesian Model for Differential Connectivity in Multi-trial Brain Signals [0.03%]
基于多试次脑信号的差异连接性分析的层次贝叶斯模型
Lechuan Hu,Michele Guindani,Norbert J Fortin et al.
Lechuan Hu et al.
There is a strong interest in the neuroscience community to measure brain connectivity and develop methods that can differentiate connectivity across patient groups and across different experimental stimuli. The development of such statisti...
Identifying gene-environment interactions for prognosis using a robust approach [0.03%]
利用稳健方法识别预后基因-环境互作效应
Hao Chai,Qingzhao Zhang,Yu Jiang et al.
Hao Chai et al.
For many complex diseases, prognosis is of essential importance. It has been shown that, beyond the main effects of genetic (G) and environmental (E) risk factors, gene-environment (G × E) interactions also play a critical role. In practic...
Estimation of a Semiparametric Varying-Coefficient Mixed Regressive Spatial Autoregressive Model [0.03%]
半参数变系数混合回归空间自回归模型的估计
Yanqing Sun,Yuanqing Zhang,Jianhua Z Huang
Yanqing Sun
A semiparametric varying-coefficient mixed regressive spatial autoregressive model is used to study covariate effects on spatially dependent responses, where the effects of some covariates are allowed to vary with other variables. A semipar...