A meta-inference framework to integrate multiple external models into a current study [0.03%]
一种元推断框架：将多个外部模型整合到当前研究中
Tian Gu,Jeremy M G Taylor,Bhramar Mukherjee
Tian Gu
It is becoming increasingly common for researchers to consider incorporating external information from large studies to improve the accuracy of statistical inference instead of relying on a modestly sized data set collected internally. With...
Developing a predictive signature for two trial endpoints using the cross-validated risk scores method [0.03%]
使用交叉验证风险评分法开发两个临床试验终点的预测标志物
Svetlana Cherlin,James M S Wason
Svetlana Cherlin
The existing cross-validated risk scores (CVRS) design has been proposed for developing and testing the efficacy of a treatment in a high-efficacy patient group (the sensitive group) using high-dimensional data (such as genetic data). The d...
Adaptive randomization in a two-stage sequential multiple assignment randomized trial [0.03%]
一种两阶段连续多重赋值随机临床试验中的自适应分组方法
Junyao Wang,Liwen Wu,Abdus S Wahed
Junyao Wang
Sequential multiple assignment randomized trials (SMARTs) are systematic and efficient media for comparing dynamic treatment regimes (DTRs), where each patient is involved in multiple stages of treatment with the randomization at each stage...
Randomized Controlled Trial
Biostatistics (Oxford, England). 2022 Oct 14;23(4):1182-1199. DOI:10.1093/biostatistics/kxab020 2022
David M Hughes,Marta García-Fiñana,Matt P Wand
David M Hughes
Collecting information on multiple longitudinal outcomes is increasingly common in many clinical settings. In many cases, it is desirable to model these outcomes jointly. However, in large data sets, with many outcomes, computational burden...
Bayesian adaptive design for concurrent trials involving biologically related diseases [0.03%]
涉及生物学相关疾病的并发试验的贝叶斯自适应设计
Matthew A Psioda,H Amy Xia,Xun Jiang et al.
Matthew A Psioda et al.
We develop a Bayesian design method for a clinical program where an investigational product is to be studied concurrently in a set of clinical trials involving related diseases with the goal of demonstrating superiority to a control in each...
Bayesian integrative analysis and prediction with application to atherosclerosis cardiovascular disease [0.03%]
基于动脉粥样硬化性心血管疾病的贝叶斯整合分析与预测研究
Thierry Chekouo,Sandra E Safo
Thierry Chekouo
The problem of associating data from multiple sources and predicting an outcome simultaneously is an important one in modern biomedical research. It has potential to identify multidimensional array of variables predictive of a clinical outc...
Semiparametric regression analysis of bivariate censored events in a family study of Alzheimer's disease [0.03%]
阿尔茨海默病家系研究中的双变量删失事件的半参数回归分析
Fei Gao,Donglin Zeng,Yuanjia Wang
Fei Gao
Assessing disease comorbidity patterns in families represents the first step in gene mapping for diseases and is central to the practice of precision medicine. One way to evaluate the relative contributions of genetic risk factor and enviro...
ACTOR: a latent Dirichlet model to compare expressed isoform proportions to a reference panel [0.03%]
演员：一种比较表达形式比例的潜在Dirichlet模型参考小组
Sean D McCabe,Andrew B Nobel,Michael I Love
Sean D McCabe
The relative proportion of RNA isoforms expressed for a given gene has been associated with disease states in cancer, retinal diseases, and neurological disorders. Examination of relative isoform proportions can help determine biological me...
Caleb Weaver,Luo Xiao,Martin A Lindquist
Caleb Weaver
Functional connectivity is defined as the undirected association between two or more functional magnetic resonance imaging (fMRI) time series. Increasingly, subject-level functional connectivity data have been used to predict and classify c...
A Bayesian semiparametric approach for inference on the population partly conditional mean from longitudinal data with dropout [0.03%]
纵向数据缺失下的部分条件均值的半参数贝叶斯推断方法研究
Maria Josefsson,Michael J Daniels,Sara Pudas
Maria Josefsson
Studies of memory trajectories using longitudinal data often result in highly nonrepresentative samples due to selective study enrollment and attrition. An additional bias comes from practice effects that result in improved or maintained pe...