Andrew J Cron,Mike West
Andrew J Cron
Effective component relabeling in Bayesian analyses of mixture models is critical to the routine use of mixtures in classification with analysis based on Markov chain Monte Carlo methods. The classification-based relabeling approach here is...
Consistency of Normal Distribution Based Pseudo Maximum Likelihood Estimates When Data Are Missing at Random [0.03%]
数据缺失下基于正态分布的伪极大似然估计的相合性
Ke-Hai Yuan,Peter M Bentler
Ke-Hai Yuan
This paper shows that, when variables with missing values are linearly related to observed variables, the normal-distribution-based pseudo MLEs are still consistent. The population distribution may be unknown while the missing data process ...
Hua Zhou,Kenneth Lange
Hua Zhou
The movie distribution company Netflix has generated considerable buzz in the statistics community by offering a million dollar prize for improvements to its movie rating system. Among the statisticians and computer scientists who have disc...
Jan Serroyen,Geert Molenberghs,Geert Verbeke et al.
Jan Serroyen et al.
While marginal models, random-effects models, and conditional models are routinely considered to be the three main modeling families for continuous and discrete repeated measures with linear and generalized linear mean structures, respectiv...
Easy Multiplicity Control in Equivalence Testing Using Two One-sided Tests [0.03%]
使用两个单侧检验进行等效性检验中的简便多重校正方法
Carolyn Lauzon,Brian Caffo
Carolyn Lauzon
Equivalence testing is growing in use in scientific research outside of its traditional role in the drug approval process. Largely due to its ease of use and recommendation from the United States Food and Drug Administration guidance, the m...
Flexible Frames and Control Sampling in Case-Control Studies: Weighters (Survey Statisticians) Versus Anti-Weighters (Epidemiologists) [0.03%]
病例对照研究中的灵活框架与控制抽样：加权者（调查统计学家）VS反加权者（流行病学家）
Richard F Potthoff,Susan Halabi,Joellen M Schildkraut et al.
Richard F Potthoff et al.
We propose two innovations in statistical sampling for controls to enable better design of population-based case-control studies. The main innovation leads to novel solutions, without using weights, of the difficult and long-standing proble...
Decision analysis for the evaluation of diagnostic tests, prediction models and molecular markers [0.03%]
决策分析在诊断试验、预测模型和分子标记评价中的应用
Andrew J Vickers
Andrew J Vickers
The traditional statistical approach to the evaluation of diagnostic tests, prediction models and molecular markers is to assess their accuracy, using metrics such as sensitivity, specificity and the receiver-operating-characteristic curve....
Much ado about nothing: A comparison of missing data methods and software to fit incomplete data regression models [0.03%]
虚晃一枪：缺失数据方法及软件比较以拟合不完整数据回归模型
Nicholas J Horton,Ken P Kleinman
Nicholas J Horton
Missing data are a recurring problem that can cause bias or lead to inefficient analyses. Development of statistical methods to address missingness have been actively pursued in recent years, including imputation, likelihood and weighting a...
Linear Transformations and the k-Means Clustering Algorithm: Applications to Clustering Curves [0.03%]
线性变换与k-均值聚类算法在曲线聚类中的应用
Thaddeus Tarpey
Thaddeus Tarpey
Functional data can be clustered by plugging estimated regression coefficients from individual curves into the k-means algorithm. Clustering results can differ depending on how the curves are fit to the data. Estimating curves using differe...
Federal statistics in a complex environment: the case of the 1980 census [0.03%]
复杂环境中产生的联邦统计资料情况——以一九八〇年人口普查为例
V P Barabba,R O Mason,I I Mitroff
V P Barabba
A discussion of the 1980 U.S. census is presented. The authors suggest that the taking of a national census is not just a statistical exercise, but an exercise involving ethics, epistemology, law, and politics. They contend that conducting ...