Using regression mixture models with non-normal data: Examining an ordered polytomous approach [0.03%]
非正态数据下的回归混合模型：考察有序多项式方法
Melissa R W George,Na Yang,M Lee Van Horn et al.
Melissa R W George et al.
Mild to moderate skew in errors can substantially impact regression mixture model results; one approach for overcoming this includes transforming the outcome into an ordered categorical variable and using a polytomous regression mixture mod...
Xinming An,Peter M Bentler
Xinming An
The item factor analysis model for investigating multidimensional latent spaces has proved to be useful. Parameter estimation in this model requires computationally demanding high-dimensional integrations. While several approaches to approx...
Conditional and Marginal Estimates in Case-Control Family Data - Extensions and Sensitivity Analyses [0.03%]
病例对照家族数据中的条件和边缘估计：扩展及敏感性分析
Malka Gorfine,Rottem De-Picciotto,Li Hsu
Malka Gorfine
This work considers two specific estimation techniques for the family specific proportional hazards model and for the population-averaged proportional hazards model. So far, these two estimation procedures were presented and studied under t...
Estimating age-specific incidence of dementia using prevalent cohort data [0.03%]
利用现患队列数据估算痴呆症的年龄别发病率
Binbing Yu
Binbing Yu
In prospective cohort studies individuals are usually recruited according to a certain cross-sectional sampling criterion. The prevalent cohort is defined as a group of individuals who are alive but possibly with disease at the beginning of...
Wei Zhang,Ying Zhang,Kathryn Chaloner et al.
Wei Zhang et al.
In medical research, it is common to have doubly censored survival data: origin time and event time are both subject to censoring. In this paper, we review simple and probability-based methods that are used to impute interval censored origi...
Christopher R Bilder,Joshua M Tebbs
Christopher R Bilder
Group testing involves pooling individual items together and testing them simultaneously for a rare binary trait. Whether the goal is to estimate the prevalence of the trait or to identify those individuals that possess it, group testing ca...
Hyeyoung Lee,Sujit K Ghosh
Hyeyoung Lee
Model choice is one of the most crucial aspect in any statistical data analysis. It is well known that most models are just an approximation to the true data generating process but among such model approximations it is our goal to select th...