Ye Tian,Xinwei Zhang,Zhiqiang Tan
Ye Tian
Consider a semi-supervised setting with a labeled dataset of binary responses and predictors and an unlabeled dataset with only the predictors. Logistic regression is equivalent to an exponential tilt model in the labeled population. For se...
Regression-Assisted Bayesian Record Linkage for Causal Inference in Observational Studies with Covariates Spread Over Two Files [0.03%]
基于回归的贝叶斯记录链接在两个文件中具有协变量的观察研究因果推断中的应用
Sharmistha Guha,Jerome P Reiter
Sharmistha Guha
We consider causal inference for observational studies with data spread over two files. One file includes the treatment, outcome, and some covariates measured on a set of individuals, and the other file includes additional causally-relevant...
Efficient inference of parent-of-origin effect using case-control mother-child genotype data [0.03%]
基于病例对照的母子基因型数据的有效亲本来源效应推断方法
Yuang Tian,Hong Zhang,Alexandre Bureau et al.
Yuang Tian et al.
Parent-of-origin effect plays an important role in mammal development and disorder. Case-control mother-child pair genotype data can be used to detect parent-of-origin effect and is often convenient to collect in practice. Most existing met...
Zhiwen Fang,Gen Li,Wendong Li et al.
Zhiwen Fang et al.
Expression quantitative trait locus (eQTL) analysis is a useful tool to identify genetic loci that are associated with gene expression levels. Large collaborative efforts such as the Genotype-Tissue Expression (GTEx) project provide valuabl...
Information content of stepped wedge designs under the working independence assumption [0.03%]
在独立性假设下的Stepped Wedge设计的信息含量分析
Zibo Tian,Fan Li
Zibo Tian
The stepped wedge design is increasingly popular in pragmatic trials and implementation science research studies for evaluating system-level interventions that are perceived to be beneficial to patient populations. An important step in plan...
Approximating the Operating Characteristics of Bayesian Uncertainty Directed Trial Designs [0.03%]
贝叶斯不确定性导向试验设计的操作特性近似方法研究
Marta Bonsaglio,Sandra Fortini,Steffen Ventz et al.
Marta Bonsaglio et al.
Bayesian response adaptive clinical trials are currently evaluating experimental therapies for several diseases. Adaptive decisions, such as pre-planned variations of the randomization probabilities, attempt to accelerate the development of...
A general Bayesian bootstrap for censored data based on the beta-Stacy process [0.03%]
基于Beta-Stacy过程的删失数据广义Bayesian Bootstrap方法研究
Andrea Arfè,Pietro Muliere
Andrea Arfè
We introduce a novel procedure to perform Bayesian non-parametric inference with right-censored data, the beta-Stacy bootstrap. This approximates the posterior law of summaries of the survival distribution (e.g. the mean survival time). Mor...
Variance Estimation and Confidence Intervals from Genome-wide Association Studies Through High-dimensional Misspecified Mixed Model Analysis [0.03%]
通过高维模型平均方法估计千人基因组研究方差及置信区间
Cecilia Dao,Jiming Jiang,Debashis Paul et al.
Cecilia Dao et al.
We study variance estimation and associated confidence intervals for parameters characterizing genetic effects from genome-wide association studies (GWAS) in misspecified mixed model analysis. Previous studies have shown that, in spite of t...
Glenn Heller
Glenn Heller
The continuous net reclassification improvement (NRI) statistic is a popular model change measure that was developed to assess the incremental value of new factors in a risk prediction model. Two prominent statistical issues identified in t...
Incorporating spatial structure into inclusion probabilities for Bayesian variable selection in generalized linear models with the spike-and-slab elastic net [0.03%]
贝叶斯变量选择中融入空间结构的包含概率：具有脉冲和滑板弹性网的广义线性模型中的应用
Justin M Leach,Inmaculada Aban,Nengjun Yi;Alzheimer’s Disease Neuroimaging Initiative
Justin M Leach
Spike-and-slab priors model predictors as arising from a mixture of distributions: those that should (slab) or should not (spike) remain in the model. The spike-and-slab lasso (SSL) is a mixture of double exponentials, extending the single ...