Sarah E Holte,Eva K Lee,Yajun Mei
Sarah E Holte
This research is motivated from the analysis of a real gene expression data that aims to identify a subset of "interesting" or "significant" genes for further studies. When we blindly applied the standard false discovery rate (FDR) methods,...
Chantal Larose,Ofer Harel,Katarzyna Kordas et al.
Chantal Larose et al.
Latent class analysis is used to group categorical data into classes via a probability model. Model selection criteria then judge how well the model fits the data. When addressing incomplete data, the current methodology restricts the imput...
Incorporating auxiliary information for improved prediction using combination of kernel machines [0.03%]
利用核机器结合辅助信息改进预测模型
Xiang Zhan,Debashis Ghosh
Xiang Zhan
With evolving genomic technologies, it is possible to get different measures of the same underlying biological phenomenon using different technologies. The goal of this paper is to build a prediction model for an outcome variable Y from cov...
Guang Yang,Dungang Liu,Regina Y Liu et al.
Guang Yang et al.
Network meta-analysis synthesizes several studies of multiple treatment comparisons to simultaneously provide inference for all treatments in the network. It can often strengthen inference on pairwise comparisons by borrowing evidence from ...
A default prior distribution for contingency tables with dependent factor levels [0.03%]
具依赖因素水平的列联表的默认先验分布
Antony M Overstall,Ruth King
Antony M Overstall
A default prior distribution is proposed for the Bayesian analysis of contingency tables. The prior is specified to allow for dependence between levels of the factors. Different dependence structures are considered, including conditional au...
A note about the identifiability of causal effect estimates in randomized trials with non-compliance [0.03%]
论随机对照试验中因果效应估计的可识别性注记（非依从性情况）
Kwun Chuen Gary Chan
Kwun Chuen Gary Chan
We show that assumptions that are sufficient for estimating an average treatment effect in randomized trials with non-compliance restrict the subgroup means for always takers, compliers, defiers and never takers to a two dimensional linear ...
Directional data analysis under the general projected normal distribution [0.03%]
一般的投影正常分布下的方向数据模型与分析方法研究
Fangpo Wang,Alan E Gelfand
Fangpo Wang
The projected normal distribution is an under-utilized model for explaining directional data. In particular, the general version provides flexibility, e.g., asymmetry and possible bimodality along with convenient regression specification. H...
Brian J Reich,Montserrat Fuentes
Brian J Reich
A crucial step in the analysis of spatial data is to estimate the spatial correlation function that determines the relationship between a spatial process at two locations. The standard approach to selecting the appropriate correlation funct...
The destructive negative binomial cure rate model with a latent activation scheme [0.03%]
具有潜在激活方案的破坏性负二项式治愈率模型
Vicente G Cancho,Dipankar Bandyopadhyay,Francisco Louzada et al.
Vicente G Cancho et al.
A new flexible cure rate survival model is developed where the initial number of competing causes of the event of interest (say lesions or altered cells) follow a compound negative binomial (NB) distribution. This model provides a realistic...
Hypothesis testing, power and sample size determination for between group comparisons in fMRI experiments [0.03%]
基于fMRI实验的组间比较的假设检验、功效和样本量确定
Dulal K Bhaumik,Anindya Roy,Nicole A Lazar et al.
Dulal K Bhaumik et al.
Modern methods for imaging the human brain, such as functional magnetic resonance imaging (fMRI) present a range of challenging statistical problems. In this paper, we first develop a large sample based test for between group comparisons an...