On Estimating Diagnostic Accuracy From Studies With Multiple Raters and Partial Gold Standard Evaluation [0.03%]
基于多方评价和不完整"金标准"的诊断准确性研究及其Meta分析模型
Paul S Albert,Lori E Dodd
Paul S Albert
We are often interested in estimating sensitivity and specificity of a group of raters or a set of new diagnostic tests in situations in which gold standard evaluation is expensive or invasive. Numerous authors have proposed latent modeling...
Sujit K Sahu,Alan E Gelfand,David M Holland
Sujit K Sahu
The assessment of air pollution regulatory programs designed to improve ground level ozone concentrations is a topic of considerable interest to environmental managers. To aid this assessment, it is necessary to model the space-time behavio...
Mapping Ancient Forests: Bayesian Inference for Spatio-temporal Trends in Forest Composition Using the Fossil Pollen Proxy Record [0.03%]
基于化石花粉代理记录的森林组成的时空趋势的贝叶斯推断
Christopher J Paciorek,Jason S McLachlan
Christopher J Paciorek
Ecologists use the relative abundance of fossil pollen in sediments to estimate how tree species abundances change over space and time. To predict historical forest composition and quantify the available information, we build a Bayesian hie...
Estimation of Parameters Subject to Order Restrictions on a Circle With Application to Estimation of Phase Angles of Cell Cycle Genes [0.03%]
基于圆周上参数的序约束估计及其在细胞周期基因相角估计中的应用
Cristina Rueda,Miguel A Fernández,Shyamal Das Peddada
Cristina Rueda
Motivated by a problem encountered in the analysis of cell cycle gene expression data, this article deals with the estimation of parameters subject to order restrictions on a unit circle. A normal eukaryotic cell cycle has four major phases...
Analysis of Longitudinal Data with Semiparametric Estimation of Covariance Function [0.03%]
covariance函数的半参数估计的纵向数据的分析
Jianqing Fan,Tao Huang,Runze Li
Jianqing Fan
Improving efficiency for regression coefficients and predicting trajectories of individuals are two important aspects in analysis of longitudinal data. Both involve estimation of the covariance function. Yet, challenges arise in estimating ...
Model Selection Criteria for Missing-Data Problems Using the EM Algorithm [0.03%]
EM算法在缺失数据问题中的模型选择标准
Joseph G Ibrahim,Hongtu Zhu,Niansheng Tang
Joseph G Ibrahim
We consider novel methods for the computation of model selection criteria in missing-data problems based on the output of the EM algorithm. The methodology is very general and can be applied to numerous situations involving incomplete data ...
Inference of Tamoxifen's Effects on Prevention of Breast Cancer from a Randomized Controlled Trial [0.03%]
一项随机对照试验中他莫昔芬对预防乳腺癌影响的统计推断
Yu Shen,Jing Qin,Joseph P Costantino
Yu Shen
The largest randomized, double-blind, placebo-controlled chemoprevention trial, the National Surgical Adjuvant Breast and Bowel Project's Breast Cancer Prevention Trial (NSABP-BCPT), evaluated the efficacy of tamoxifen in the prevention of ...
Time-dependent Predictive Values of Prognostic Biomarkers with Failure Time Outcome [0.03%]
具有生存时间结果的预后生物标志物的时间依赖预测价值
Yingye Zheng,Tianxi Cai,Margaret S Pepe et al.
Yingye Zheng et al.
In a prospective cohort study, information on clinical parameters, tests and molecular markers is often collected. Such information is useful to predict patient prognosis and to select patients for targeted therapy. We propose a new graphic...
Jianhua Hu,Adarsh Joshi,Valen E Johnson
Jianhua Hu
We describe a class of log-linear models for the detection of interactions in high-dimensional genomic data. This class of models leads to a Bayesian model selection algorithm that can be applied to data that have been reduced to contingenc...
A Bayesian hierarchical model for analysis of SNP diversity in multilocus, multipopulation samples [0.03%]
一种分析多基因座、多群体样本的SNP多样性的贝叶斯分层模型
Feng Guo,Dipak K Dey,Kent E Holsinger
Feng Guo
The distribution of genetic variation among populations is conveniently measured by Wright's F(ST), which is a scaled variance taking on values in [0,1]. For certain types of genetic markers, and for single-nucleotide polymorphisms (SNPs) i...