Chang Yu,Daniel Zelterman
Chang Yu
For many continuous distributions, a closed-form expression for their quantiles does not exist. Numerical approximations for their quantiles are developed on a distribution-by-distribution basis. This work develops a general approximation f...
Locally Optimal Designs for Some Dose-Response Models With Continuous Endpoints [0.03%]
连续因变量的某些剂量效应模型的局部最优设计
Yi Zhai,Zhide Fang
Yi Zhai
We consider the problem of constructing static (or non-sequential), approximate optimal designs for a class of dose response models with continuous outcomes. We obtain conditions for a design being D-optimal or c-optimal. The designs are lo...
Estimation of Sobol's Sensitivity Indices under Generalized Linear Models [0.03%]
广义线性模型下的Sobol敏感性指数估计方法研究
Rong Lu,Danxin Wang,Min Wang et al.
Rong Lu et al.
We derive explicit formulas for Sobol's sensitivity indices (SSIs) under the generalized linear models (GLMs) with independent or multivariate normal inputs. We argue that the main-effect SSIs provide a powerful tool for variable selection ...
An evaluation of common methods for dichotomization of continuous variables to discriminate disease status [0.03%]
连续变量二值化以区分疾病状态的常用方法评价
Sybil L Prince Nelson,Viswanathan Ramakrishnan,Paul J Nietert et al.
Sybil L Prince Nelson et al.
Dichotomization of continuous variables to discriminate a dichotomous outcome is often useful in statistical applications. If a true threshold for a continuous variable exists, the challenge is identifying it. This paper examines common met...
Generalized Confidence Intervals Compatible with the Min Test for Simultaneous Comparisons of One Subpopulation to Several Other Subpopulations [0.03%]
与最小检验兼容的广义置信区间在一对多假设检验问题中的应用研究
Julia N Soulakova
Julia N Soulakova
A problem where one subpopulation is compared to several other subpopulations in terms of means with the goal of estimating the smallest difference between the means commonly arises in biology, medicine, and many other scientific fields. A ...
Chong-Zhi Di,Kwun Chuen Gary Chan,Cheng Zheng et al.
Chong-Zhi Di et al.
Parametric and semiparametric mixture models have been widely used in applications from many areas, and it is often of interest to test homogeneity in these models. However, hypothesis testing is nonstandard due to the fact that several reg...
NONPARAMETRIC MANOVA APPROACHES FOR NON-NORMAL MULTIVARIATE OUTCOMES WITH MISSING VALUES [0.03%]
非正态多变量结局缺失数据分析的非参数MANOVA方法
Fanyin He,Sati Mazumdar,Gong Tang et al.
Fanyin He et al.
Between-group comparisons often entail many correlated response variables. The multivariate linear model, with its assumption of multivariate normality, is the accepted standard tool for these tests. When this assumption is violated, the no...
A Simple Method for Deriving the Confidence Regions for the Penalized Cox's Model via the Minimand Perturbation [0.03%]
基于极小量摄动的惩罚Cox模型置信域的简易算法
Chen-Yen Lin,Susan Halabi
Chen-Yen Lin
We propose a minimand perturbation method to derive the confidence regions for the regularized estimators for the Cox's proportional hazards model. Although the regularized estimation procedure produces a more stable point estimate, it rema...
Optimal and lead-in adaptive allocation for binary outcomes: a comparison of Bayesian methodologies [0.03%]
二元结果的最优和先导自适应分配：贝叶斯方法论的比较
Roy T Sabo,Ghalib Bello
Roy T Sabo
We compare posterior and predictive estimators and probabilities in response-adaptive randomization designs for two- and three-group clinical trials with binary outcomes. Adaptation based upon posterior estimates are discussed, as are two p...
Yanyan Li,Damaraju Raghavarao,Inna Chervoneva
Yanyan Li
The purpose of mixture experiments is to explore the optimum blends of mixture components, which will provide desirable response characteristics in finished products. D-optimal minimal designs have been considered for a variety of mixture m...