An empirical approach to determine a threshold for assessing overdispersion in Poisson and negative binomial models for count data [0.03%]
一种确定阈值以评估计数数据的泊松和负二项模型过度离散的经验方法
Elizabeth H Payne,Mulugeta Gebregziabher,James W Hardin et al.
Elizabeth H Payne et al.
Overdispersion is a problem encountered in the analysis of count data that can lead to invalid inference if unaddressed. Decision about whether data are overdispersed is often reached by checking whether the ratio of the Pearson chi-square ...
An evaluation of the bootstrap for model validation in mixture models [0.03%]
Bootstrap法在混合模型中的评价及模型验证
Thomas Jaki,Ting-Li Su,Minjung Kim et al.
Thomas Jaki et al.
Bootstrapping has been used as a diagnostic tool for validating model results for a wide array of statistical models. Here we evaluate the use of the non-parametric bootstrap for model validation in mixture models. We show that the bootstra...
Bayesian Hierarchical Joint Modeling Using Skew-Normal/Independent Distributions [0.03%]
基于Skew-正态/独立分布的贝叶斯分层联合建模方法研究
Geng Chen,Sheng Luo
Geng Chen
The multiple longitudinal outcomes collected in many clinical trials are often analyzed by multilevel item response theory (MLIRT) models. The normality assumption for the continuous outcomes in the MLIRT models can be violated due to skewn...
Sparse canonical correlation analysis between an alcohol biomarker and self-reported alcohol consumption [0.03%]
酒精生物标志物和自我报告的饮酒行为之间的稀疏典型相关分析
Shanjun Helian,Babette A Brumback,Robert L Cook
Shanjun Helian
In investigating the correlation between an alcohol biomarker and self-report, we developed a method to estimate the canonical correlation between two high-dimensional random vectors with a small sample size. In reviewing the relevant liter...
Priscilla H Chan,Ronghui Xu,Christina D Chambers
Priscilla H Chan
For right-censored data the accelerated failure time (AFT) model is an alternative to the commonly used proportional hazards regression model. It is a linear model for the (log-transformed) outcome of interest, and is particularly useful fo...
Jongphil Kim,Ji-Hyun Lee
Jongphil Kim
The beta-binomial model has been widely used as an analytically tractable alternative that captures the overdispersion of an intra-correlated, binomial random variable, X. However, the model validation for X has been rarely investigated. As...
A simulation based method for assessing the statistical significance of logistic regression models after common variable selection procedures [0.03%]
一种基于模拟的方法用于在常用的变量筛选过程后评估逻辑回归模型的统计显著性
Tristan R Grogan,David A Elashoff
Tristan R Grogan
Classification models can demonstrate apparent prediction accuracy even when there is no underlying relationship between the predictors and the response. Variable selection procedures can lead to false positive variable selections and overe...
Assessing type I error and power of multistate Markov models for panel data-A simulation study [0.03%]
评估面板数据多重状态马尔可夫模型I型错误和功效的仿真研究
Christy Cassarly,Renee&#x; H Martin,Marc Chimowitz et al.
Christy Cassarly et al.
Ordinal outcomes collected at multiple follow-up visits are common in clinical trials. Sometimes, one visit is chosen for the primary analysis and the scale is dichotomized amounting to loss of information. Multistate Markov models describe...
Analysis of Censored Longitudinal Data with Skewness and a Terminal Event [0.03%]
带有偏斜和终事件的删失纵向数据的分析
Xiao Su,Sheng Luo
Xiao Su
In HIV/AIDS study, the measurements viral load are often highly skewed and left-censored because of a lower detection limit. Furthermore, a terminal event (e.g., death) stops the follow-up process. The time to terminal event may be dependen...
Yang Liu,Ji Li,Xu Zhang
Yang Liu
Truncation is a known feature of bone marrow transplant (BMT) registry data, for which the survival time of a leukemia patient is left truncated by the waiting time to transplant. It was recently noted that a longer waiting time was linked ...