Bayesian model selection in logistic regression for the detection of adverse drug reactions [0.03%]
Logistic回归中的贝叶斯模型选择在药物不良反应信号检测中的应用
Matthieu Marbac,Pascale Tubert-Bitter,Mohammed Sedki
Matthieu Marbac
Spontaneous adverse event reports have a high potential for detecting adverse drug reactions. However, due to their dimension, the analysis of such databases requires statistical methods. In this context, disproportionality measures can be ...
A global × global test for testing associations between two large sets of variables [0.03%]
两组大型变量之间的关联检验的全局×全局检验方法
Nimisha Chaturvedi,Renée X de Menezes,Jelle J Goeman
Nimisha Chaturvedi
In high-dimensional omics studies where multiple molecular profiles are obtained for each set of patients, there is often interest in identifying complex multivariate associations, for example, copy number regulated expression levels in a c...
Bayesian analysis of censored response data in family-based genetic association studies [0.03%]
基于家系的遗传关联研究中截尾型反应数据的贝叶斯分析
Fabiola Del Greco M,Cristian Pattaro,Cosetta Minelli et al.
Fabiola Del Greco M et al.
Biomarkers are subject to censoring whenever some measurements are not quantifiable given a laboratory detection limit. Methods for handling censoring have received less attention in genetic epidemiology, and censored data are still often r...
Simulation-based evaluation of the performance of the F test in a linear multilevel model setting with sparseness at the level of the primary unit [0.03%]
基于模拟的评价在初级单元稀疏情况下的线性多水平模型中F检验的性能
Robin Bruyndonckx,Marc Aerts,Niel Hens
Robin Bruyndonckx
In a linear multilevel model, significance of all fixed effects can be determined using F tests under maximum likelihood (ML) or restricted maximum likelihood (REML). In this paper, we demonstrate that in the presence of primary unit sparse...
Streamlined mean field variational Bayes for longitudinal and multilevel data analysis [0.03%]
用于纵向数据和多水平数据分析的简洁平均场变分贝叶斯方法
Cathy Yuen Yi Lee,Matt P Wand
Cathy Yuen Yi Lee
Streamlined mean field variational Bayes algorithms for efficient fitting and inference in large models for longitudinal and multilevel data analysis are obtained. The number of operations is linear in the number of groups at each level, wh...
Minimally adaptive BH: A tiny but uniform improvement of the procedure of Benjamini and Hochberg [0.03%]
最小的自适应BH法：Benjamini-Hochberg程序微小但均匀的改进方法
Aldo Solari,Jelle J Goeman
Aldo Solari
We define an adaptive procedure for control of the false discovery rate that is uniformly more powerful than the procedure of Benjamini and Hochberg. The power gain is tiny, however, and only appreciable for small numbers of hypotheses. We ...
Inference for binomial probability based on dependent Bernoulli random variables with applications to meta-analysis and group level studies [0.03%]
基于依赖伯努利随机变量的二项概率推理及其在元分析和群体水平研究中的应用
Ilyas Bakbergenuly,Elena Kulinskaya,Stephan Morgenthaler
Ilyas Bakbergenuly
We study bias arising as a result of nonlinear transformations of random variables in random or mixed effects models and its effect on inference in group-level studies or in meta-analysis. The findings are illustrated on the example of over...
Nonlinear response surface in the study of interaction analysis of three combination drugs [0.03%]
三个复方药物相互作用分析中的非线性响应面研究
Wen Wan,Xin-Yan Pei,Steven Grant et al.
Wen Wan et al.
Few articles have been written on analyzing three-way interactions between drugs. It may seem to be quite straightforward to extend a statistical method from two-drugs to three-drugs. However, there may exist more complex nonlinear response...
Determination of the optimal sample size for a clinical trial accounting for the population size [0.03%]
考虑总体规模的临床试验最优样本量的确定方法研究
Nigel Stallard,Frank Miller,Simon Day et al.
Nigel Stallard et al.
The problem of choosing a sample size for a clinical trial is a very common one. In some settings, such as rare diseases or other small populations, the large sample sizes usually associated with the standard frequentist approach may be inf...
Semiparametric Bayesian estimation of quantile function for breast cancer survival data with cured fraction [0.03%]
带有治愈率的乳腺癌生存数据的分半参数贝叶斯量效函数估计
Cherry Gupta,Juliana Cobre,Adriano Polpo et al.
Cherry Gupta et al.
Existing cure-rate survival models are generally not convenient for modeling and estimating the survival quantiles of a patient with specified covariate values. This paper proposes a novel class of cure-rate model, the transform-both-sides ...