Conditional Inference Functions for Mixed-Effects Models with Unspecified Random-Effects Distributio

来源 :The Third IMS-China International Conference on Statistics a | 被引量 : 0次 | 上传用户：C12sdn

【摘要】

：

　　In longitudinal studies, mixed-effects models are important for addressing subject-specific effects.However, most existing approaches assume a normal distri

【作者】

：

Peng Wang Guei-feng Tsai Annie Qu

【机构】

：

UniversityofIllinoisatUrbana-ChampaignDepartmentofStatistics,101IlliniHallChampaign,IL61820,USA

【出处】

：

The Third IMS-China International Conference on Statistics a

【发表日期】

：

2011年7期

下载到本地 , 更方便阅读

下载此文赞助VIP

声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架

论文部分内容阅读

　　In longitudinal studies, mixed-effects models are important for addressing subject-specific effects.However, most existing approaches assume a normal distribution for the random effects, and this could affect the bias aud efficiency of the fixed-effects estimator.Even in cases where the estimation of the fixed effects is robust with a misspecified distribution of the random effects, the estimation of the random effects could be invalid.

其他文献

Variable selection and semiparametric efficient estimation for the heteroscedastic partially linear

　　In this paper, we develop an efficient estimating equations procedure for performing variable selection and defining semiparametric efficient estimates simu

会议

Estimation for single-index mixed effects models

　　In this paper, we consider a single-index mixed effects model with longitudinal data.The introduction of the random effects raises interesting inferential c

会议

CNVhac, an integrated CNV calling package based on hybridization and amplification rate correction f

会议

Evaluating the diagnostic powers of variables and their linear combinations when the gold standard i

　　The receiver operating characteristic (ROC) curve is a very useful tool for analyzing the diagnostic/classification power of instruments/classification sche

会议

Information criterion-based clustering of short time course gene expression profiles using order-res

　　Clustering gene expression profiles is important to construeting gene regulatory networks.We consider the problem of clustering short time-course microarray

会议

Selection Strategy for Covariance Structure of Random Effects in Linear Mixed-Effects Models

　　Linear mixed-effects models are a powerful tool for modeling longitudinal data and are widely used in practice.For a given set of covariates in a linear mix

会议

Regularized multivariate tests for pathway analysis in proteomic studies

　　Recent proteomic studies have identified proteins related to specific phenotypes.In addition to marginal association analysis for individual proteins, analy

会议

Use of independent filtering in two-stage procedures for detecting genome-wide gene-environment inte

　　Several two-stage multiple testing procedures have been proposed to detect geneenvironment interaction in genome-wide association studies (GWAS), though the

会议

Base calling and SNP calling on next generation sequencing data

　　Although the approach of genome-wide association studies (GWAS) has emerged as a powerful tool for identifying genes with common variants influencing diseas

会议

Density estimation via quasi-conformal mapping

　　Density estimation is an archetypical problem in Statistics: numerous methods are available with extensive literature about regularization criteria and thei

会议

Conditional Inference Functions for Mixed-Effects Models with Unspecified Random-Effects Distributio

其他学术论文