Qiang Zhang,Dejian Lai
Qiang Zhang
Prediction of recruitment in clinical trials has been a challenging task. Many methods have been studied, including models based on Poisson process and its large sample approximation by Brownian motion (BM), however, when the independent in...
Simultaneous Confidence Band for the Difference of Segmented Linear Models [0.03%]
分段线性模型差的 simultaneous confidence band
Greg Yothers,Allan R Sampson
Greg Yothers
Consider comparing between two treatments a response variable, whose expectation depends on the value of a continuous covariate in some nonlinear fashion. We fit separate segmented linear models to each treatment to approximate the nonlinea...
Significance tests for functional data with complex dependence structure [0.03%]
具有复杂依赖结构的功能性数据的显著性检验
Ana-Maria Staicu,Soumen N Lahiri,Raymond J Carroll
Ana-Maria Staicu
We propose an L2-norm based global testing procedure for the null hypothesis that multiple group mean functions are equal, for functional data with complex dependence structure. Specifically, we consider the setting of functional data with ...
Jing Cao,J Jack Lee,Susan Alber
Jing Cao
A challenge for implementing performance based Bayesian sample size determination is selecting which of several methods to use. We compare three Bayesian sample size criteria: the average coverage criterion (ACC) which controls the coverage...
Abel Rodríguez,Fernando A Quintana
Abel Rodríguez
We discuss fully Bayesian inference in a class of species sampling models that are induced by residual allocation (sometimes called stick-breaking) priors on almost surely discrete random measures. This class provides a generalization of th...
Sequential Tests of Multiple Hypotheses Controlling Type I and II Familywise Error Rates [0.03%]
控制I类和II类家族错误率的多重假设的序贯检验
Jay Bartroff,Jinlin Song
Jay Bartroff
This paper addresses the following general scenario: A scientist wishes to perform a battery of experiments, each generating a sequential stream of data, to investigate some phenomenon. The scientist would like to control the overall error ...
Yao Yu,Sally W Thurston,Russ Hauser et al.
Yao Yu et al.
This paper is concerned with model selection and model averaging procedures for partially linear single-index models. The profile least squares procedure is employed to estimate regression coefficients for the full model and submodels. We s...
Francesco Claudio Stingo,Elena Stanghellini,Rosa Capobianco
Francesco Claudio Stingo
A generalization of the Probit model is presented, with the extended skew-normal cumulative distribution as a link function, which can be used for modelling a binary response variable in the presence of selectivity bias. The estimate of the...
Molin Wang,Xiaomei Liao,Donna Spiegelman
Molin Wang
This paper considers 2×2 tables arising from case-control studies in which the binary exposure may be misclassified. We found circumstances under which the inverse matrix method provides a more efficient odds ratio estimator than the naive...
Statistical properties on semiparametric regression for evaluating pathway effects [0.03%]
半参数回归模型中评估途径效应的统计性质研究
Inyoung Kim,Herbert Pang,Hongyu Zhao
Inyoung Kim
Most statistical methods for microarray data analysis consider one gene at a time, and they may miss subtle changes at the single gene level. This limitation may be overcome by considering a set of genes simultaneously where the gene sets a...