A Decision-Theoretic Comparison of Treatments to Resolve Air Leaks After Lung Surgery Based on Nonparametric Modeling [0.03%]
基于非参数建模的决策理论对比肺手术后治疗气胸的治疗方法
Yanxun Xu,Peter F Thall,Peter Müller et al.
Yanxun Xu et al.
We propose a Bayesian nonparametric utility-based group sequential design for a randomized clinical trial to compare a gel sealant to standard care for resolving air leaks after pulmonary resection. Clinically, resolving air leaks in the da...
A Bayesian Dose-finding Design for Drug Combination Trials with Delayed Toxicities [0.03%]
一种针对药物组合试验的延迟毒副作用贝叶斯剂量寻找设计
Suyu Liu,Jing Ning
Suyu Liu
We propose a Bayesian adaptive dose-finding design for drug combination trials with delayed toxicity. We model the dose-toxicity relationship using the Finney model, a model widely used in drug-drug interaction studies. The intuitive interp...
Sungduk Kim,Rajeshwari Sundaram,Germaine M Buck Louis et al.
Sungduk Kim et al.
Human fecundity is an issue of considerable interest for both epidemiological and clinical audiences, and is dependent upon a couple's biologic capacity for reproduction coupled with behaviors that place a couple at risk for pregnancy. Baye...
Mengjie Chen,Chao Gao,Hongyu Zhao
Mengjie Chen
By expressing prior distributions as general stochastic processes, nonparametric Bayesian methods provide a flexible way to incorporate prior knowledge and constrain the latent structure in statistical inference. The Indian buffet process (...
Cyr Emile M&#x;lan,Ming-Hui Chen
Cyr Emile M&#x;lan
This paper presents three objective Bayesian methods for analyzing bilateral data under Dallal's model and the saturated model. Three parameters are of interest, namely, the risk difference, the risk ratio, and the odds ratio. We derive Jef...
Pre-Surgical fMRI Data Analysis Using a Spatially Adaptive Conditionally Autoregressive Model [0.03%]
基于自适应条件自动回归的空间先验的术前fMRI数据统计分析方法研究
Zhuqing Liu,Veronica J Berrocal,Andreas J Bartsch et al.
Zhuqing Liu et al.
Spatial smoothing is an essential step in the analysis of functional magnetic resonance imaging (fMRI) data. One standard smoothing method is to convolve the image data with a three-dimensional Gaussian kernel that applies a fixed amount of...
Flexible Bayesian survival modeling with semiparametric time-dependent and shape-restricted covariate effects [0.03%]
具有半参数时间依赖和形状受限协变量效应的灵活贝叶斯生存建模
Thomas A Murray,Brian P Hobbs,Daniel J Sargent et al.
Thomas A Murray et al.
Presently, there are few options with available software to perform a fully Bayesian analysis of time-to-event data wherein the hazard is estimated semi- or non-parametrically. One option is the piecewise exponential model, which requires a...
Sungduk Kim,Rajeshwari Sundaram,Germaine M Buck Louis et al.
Sungduk Kim et al.
Theresa R Smith,Jon Wakefield,Adrian Dobra
Theresa R Smith
We present a Bayesian model for area-level count data that uses Gaussian random effects with a novel type of G-Wishart prior on the inverse variance- covariance matrix. Specifically, we introduce a new distribution called the truncated G-Wi...
Nonparametric Bayesian Bi-Clustering for Next Generation Sequencing Count Data [0.03%]
非参数贝叶斯双聚类在下一代测序计数数据中的应用
Yanxun Xu,Juhee Lee,Yuan Yuan et al.
Yanxun Xu et al.
Histone modifications (HMs) play important roles in transcription through post-translational modifications. Combinations of HMs, known as chromatin signatures, encode specific messages for gene regulation. We therefore expect that inference...