Bayesian inference for causal mediation effects using principal stratification with dichotomous mediators and outcomes [0.03%]
基于主层系利用二元中介变量和结果变量进行因果中介效应的贝叶斯推断
Michael R Elliott,Trivellore E Raghunathan,Yun Li
Michael R Elliott
Most investigations in the social and health sciences aim to understand the directional or causal relationship between a treatment or risk factor and outcome. Given the multitude of pathways through which the treatment or risk factor may af...
Matthew N McCall,Benjamin M Bolstad,Rafael A Irizarry
Matthew N McCall
Robust multiarray analysis (RMA) is the most widely used preprocessing algorithm for Affymetrix and Nimblegen gene expression microarrays. RMA performs background correction, normalization, and summarization in a modular way. The last 2 ste...
Ana-Maria Staicu,Ciprian M Crainiceanu,Raymond J Carroll
Ana-Maria Staicu
We propose a new methodological framework for the analysis of hierarchical functional data when the functions at the lowest level of the hierarchy are correlated. For small data sets, our methodology leads to a computational algorithm that ...
Micha Mandel
Micha Mandel
Continuous-time Markov processes are frequently used to describe the evolution of a disease over different phases. Such modeling can provide estimates for important parameters that are defined on the paths of the process. A simple example i...
Sara López-Pintado,Juan Romo,Aurora Torrente
Sara López-Pintado
Microarray experiments provide data on the expression levels of thousands of genes and, therefore, statistical methods applicable to the analysis of such high-dimensional data are needed. In this paper, we propose robust nonparametric tools...
Reconsidering the asymptotic null distribution of likelihood ratio tests for genetic linkage in multivariate variance components models under complete pleiotropy [0.03%]
泛基因组连锁分析的统计功效研究完全叠加效应下的似然比检验的渐近分布的再思考
Summer S Han,Joseph T Chang
Summer S Han
Accurate knowledge of the null distribution of hypothesis tests is important for valid application of the tests. In previous papers and software, the asymptotic null distribution of likelihood ratio tests for detecting genetic linkage in mu...
Youyi Fong,Håvard Rue,Jon Wakefield
Youyi Fong
Generalized linear mixed models (GLMMs) continue to grow in popularity due to their ability to directly acknowledge multiple levels of dependency and model different data types. For small sample sizes especially, likelihood-based inference ...
Flexible Bayesian quantile regression for independent and clustered data [0.03%]
自适应贝叶斯分位数回归及用于独立和集群数据的该方法
Brian J Reich,Howard D Bondell,Huixia J Wang
Brian J Reich
Quantile regression has emerged as a useful supplement to ordinary mean regression. Traditional frequentist quantile regression makes very minimal assumptions on the form of the error distribution and thus is able to accommodate nonnormal e...
Confidence intervals that match Fisher's exact or Blaker's exact tests [0.03%]
与Fisher精确检验或Blaker精确检验匹配的置信区间
Michael P Fay
Michael P Fay
When analyzing a 2 x 2 table, the two-sided Fisher's exact test and the usual exact confidence interval (CI) for the odds ratio may give conflicting inferences; for example, the test rejects but the associated CI contains an odds ratio of 1...
A shifting level model algorithm that identifies aberrations in array-CGH data [0.03%]
一种识别数组CGH数据异常的级联模型算法
Alberto Magi,Matteo Benelli,Giuseppina Marseglia et al.
Alberto Magi et al.
Array comparative genomic hybridization (aCGH) is a microarray technology that allows one to detect and map genomic alterations. The goal of aCGH analysis is to identify the boundaries of the regions where the number of DNA copies changes (...
Comparative Study
Biostatistics (Oxford, England). 2010 Apr;11(2):265-80. DOI:10.1093/biostatistics/kxp051 2010