Distribution Theory Following Blinded and Unblinded Sample Size Re-estimation under Parametric Models [0.03%]
参数模型下基于盲和开盲样本量重估的分布理论
Sergey Tarima,Nancy Flournoy
Sergey Tarima
Asymptotic distribution theory for maximum likelihood estimators under fixed alternative hypotheses is reported in the literature even though the power of any realistic test converges to one under fixed alternatives. Under fixed alternative...
Parallel tempering strategies for model-based landmark detection on shapes [0.03%]
基于模型的形状关键点检测中的并行退火策略
Justin Strait,Oksana Chkrebtii,Sebastian Kurtek
Justin Strait
In the field of shape analysis, landmarks are defined as a low-dimensional, representative set of important features of an object's shape that can be used to identify regions of interest along its outline. An important problem is to infer t...
Won Chul Song,Jun Xie
Won Chul Song
Feature screening is crucial in the analysis of ultrahigh dimensional data, where the number of variables (features) is in an exponential order of the number of observations. In various ultrahigh dimensional data, variables are naturally gr...
Multi-Response Based Personalized Treatment Selection with Data from Crossover Designs for Multiple Treatments [0.03%]
基于交叉设计数据的多治疗选择的个性化多响应方法
K B Kulasekera,Chathura Siriwardhana
K B Kulasekera
In this work we propose a novel method for treatment selection based on individual covariate information when the treatment response is multivariate and data are available from a crossover design. Our method covers any number of treatments ...
Marginal probabilities and point estimation for conditionally specified logistic regression [0.03%]
条件规范的逻辑回归的边缘概率和点估计
Curtis Miller
Curtis Miller
Conditionally specified logistic regression (CSLR) models p binary response variables. It is shown that marginal probabilities can be derived for a CSLR model. We also extend the CSLR model by allowing third order interactions. We apply two...
Inference for L-estimators of location using a bootstrap warping approach [0.03%]
基于自助重归技术的位置L-估计的推断
Alan D Hutson
Alan D Hutson
In this note we propose a new semi-parametric bootstrap procedure for hypothesis tests about a statistical function and termed bootstrap warping. This procedure was motivated by empirical likelihood and bootstrap tilting techniques. The pro...
Variable selection with Group LASSO approach: Application to Cox regression with frailty model [0.03%]
基于Cox带脆弱性的回归模型下的分组LASSO变量选择方法研究
Jean Claude Utazirubanda,Tomas Leon,Papa Ngom
Jean Claude Utazirubanda
In analysis of survival outcomes supplemented with both clinical information and high-dimensional gene expression data, use of the traditional Cox proportional hazards model fails to meet some emerging needs in biomedical research. First, t...
Thanh Pham,Trung Ha,Julia N Soulakova
Thanh Pham
We discuss a two-step approach to test for a mediated effect using data gathered via complex sampling. The approach incorporates design-based multiple linear regressions and a generalized Sobel's method to test for significance of a mediate...
Impact of Case-Mix Measurement Error on Estimation and Inference in Profiling of Health Care Providers [0.03%]
病例组合测度误差对医疗服务提供者评价中估计和推断的影响分析
Damla Şentürk,Yanjun Chen,Jason P Estes et al.
Damla Şentürk et al.
Profiling analysis aims to evaluate health care providers by modeling each provider's performance with respect to a patient outcome, such as unplanned hospital readmission. High-dimensional regression models are used in profiling to risk-ad...
GENERATING SURVIVAL TIMES WITH TIME-VARYING COVARIATES USING THE LAMBERT W FUNCTION [0.03%]
利用Lambert W函数生成时间变化协变量下的生存数据
Julius S Ngwa,Howard J Cabral,Debbie M Cheng et al.
Julius S Ngwa et al.
Simulation studies provide an important statistical tool in evaluating survival methods, requiring an appropriate data-generating process to simulate data for an underlying statistical model. Many studies with time-to-event outcomes use the...