Confidence Intervals for the Area Under the Receiver Operating Characteristic Curve in the Presence of Ignorable Missing Data [0.03%]
缺失数据下的接收者操作特性曲线下方面的置信区间
Hunyong Cho,Gregory J Matthews,Ofer Harel
Hunyong Cho
Receiver operating characteristic curves are widely used as a measure of accuracy of diagnostic tests and can be summarised using the area under the receiver operating characteristic curve (AUC). Often, it is useful to construct a confidenc...
A Tutorial on Multilevel Survival Analysis: Methods, Models and Applications [0.03%]
多层次生存分析教程——方法、模型及应用
Peter C Austin
Peter C Austin
Data that have a multilevel structure occur frequently across a range of disciplines, including epidemiology, health services research, public health, education and sociology. We describe three families of regression models for the analysis...
Philip T Reiss,Jeff Goldsmith,Han Lin Shang et al.
Philip T Reiss et al.
Recent years have seen an explosion of activity in the field of functional data analysis (FDA), in which curves, spectra, images, etc. are considered as basic functional data units. A central problem in FDA is how to fit regression models w...
Modelling the Ecological Comorbidity of Acute Respiratory Infection, Diarrhoea and Stunting among Children Under the Age of 5 Years in Somalia [0.03%]
索马里5岁以下儿童急性呼吸道感染、腹泻和生长迟缓的生态共病模型
Damaris K Kinyoki,Samuel O Manda,Grainne M Moloney et al.
Damaris K Kinyoki et al.
The aim of this study was to assess spatial co-occurrence of acute respiratory infections (ARI), diarrhoea and stunting among children of the age between 6 and 59 months in Somalia. Data were obtained from routine biannual nutrition surveys...
Lognormal Distributions and Geometric Averages of Symmetric Positive Definite Matrices [0.03%]
对称正定矩阵的对数正态分布和几何平均值
Armin Schwartzman
Armin Schwartzman
This article gives a formal definition of a lognormal family of probability distributions on the set of symmetric positive definite (SPD) matrices, seen as a matrix-variate extension of the univariate lognormal family of distributions. Two ...
Alternative indicators for the risk of non-response bias: a simulation study [0.03%]
非响应偏倚风险的替代指标：一项模拟研究
Raphael Nishimura,James Wagner,Michael R Elliott
Raphael Nishimura
The growth of nonresponse rates for social science surveys has led to increased concern about the risk of nonresponse bias. Unfortunately, the nonresponse rate is a poor indicator of when nonresponse bias is likely to occur. We consider in ...
Finding Bayesian Optimal Designs for Nonlinear Models: A Semidefinite Programming-Based Approach [0.03%]
基于半定规划的非线性模型贝叶斯最优设计的方法研究
Belmiro P M Duarte,Weng Kee Wong
Belmiro P M Duarte
This paper uses semidefinite programming (SDP) to construct Bayesian optimal design for nonlinear regression models. The setup here extends the formulation of the optimal designs problem as an SDP problem from linear to nonlinear models. Ga...
Assessing Variability of Complex Descriptive Statistics in Monte Carlo Studies using Resampling Methods [0.03%]
利用重抽样方法评估蒙特卡罗研究中复杂描述性统计的变异性
Dennis D Boos,Jason A Osborne
Dennis D Boos
Good statistical practice dictates that summaries in Monte Carlo studies should always be accompanied by standard errors. Those standard errors are easy to provide for summaries that are sample means over the replications of the Monte Carlo...
A unifying framework for marginalized random intercept models of correlated binary outcomes [0.03%]
具有边际随机效应的二元结果模型的统一框架
Bruce J Swihart,Brian S Caffo,Ciprian M Crainiceanu
Bruce J Swihart
We demonstrate that many current approaches for marginal modeling of correlated binary outcomes produce likelihoods that are equivalent to the copula-based models herein. These general copula models of underlying latent threshold random var...