• 不 限
  • 期刊论文
  • 硕博论文
  • 会议论文
  • 报 纸
  • 英文论文
  2. 您的位置
  3. 首页
  4. 会议论文
  5. Addressing Confounding Factors Problems with Instrumental Variables

Addressing Confounding Factors Problems with Instrumental Variables

来源 :上海交通大学 | 被引量 : 0次 | 上传用户：xichblueagle
【摘 要】
：
Recent advances in genomic and proteomic technologies have stimulated a large number of molecular biomarker discovery studies of various diseases.To date,the number and the quality of the technical re
【作 者】
：
Gabriela Cohen Freue Sara Mostafavi Jasmine Ju 
【机 构】
：
University of British Columbia,Vancouver,V6T 1Z4,Canada
【出 处】
：
上海交通大学
【发表日期】
：
2016年4期
【关键词】
：
instrumental variables estimators confounding factors genomics 
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
　　Recent advances in genomic and proteomic technologies have stimulated a large number of molecular biomarker discovery studies of various diseases.To date,the number and the quality of the technical resources available for these biomarker studies and the rapid expansion of genomic and proteomic datasets are well recognized.However,the development of tailored statistical methods to address the challenges that have arisen in the field has lagged behind,dramatically reducing the pace,quality and precision of biomarker studies.
其他文献
Semiparametric Regression Analysis of Interval-Censored Competing Risks Data
Interval-censored competing risks data arise when each study subject may experience an event or failure from one of several causes and the failure time is not observed directly but rather is known to
会议
Cumulative incidenceInterval censoringNonparametric maximum likelihood estimat
Additive hazards model with additive frailty for semi-competing risks data
An illness-death model with additive hazard and additive frailty was proposed on semicompeting risks situation.Compared with the Cox-type hazard,the additive hazard function is more natural and proper
会议
Addditive hazards modelEM algorithmFrailtySemi-competing risk model
Regression Analysis of Bivariate Interval-censored Failure Time Data
Interval-censored failure time data arise in a number of fields and many authors have discussed various issues related to their analysis.However,most of the existing methods are for univariate data an
会议
Failure time data analysisInterval censoringSieve estimation
A Bayesian Hierarchical Spatial Model for Dental Caries Assessment Using Non-gaussian Markov Random
Research of dental disease generates data with two levels of hierarchy: that of a tooth overall and that of the different surfaces of the tooth.The outcomes often exhibit spatial referencing among nei
会议
Bayesian Spatial Data AnalysisAutologistic ModelsPotts ModelsMarkov Chain Mon
Functional Inverted-Wishart for Massive Multivariate Spatial Modeling
Multivariate spatial analysis often relies on a low-dimensional latent representation of fac-tors or dictionary entries,often of Gaussian processes.Despite of the efficiency,this can be unrealistic du
会议
Covariance ConvolutionOutcome-based ApproachInverted-WishartSparse TensorFou
Analysis of Stratified Mark-Specific Proportional Hazards Models under Two-Phase Sampling with Appli
An objective of preventive HIV vaccine efficacy trials is to understand how vaccineinduced immune responses to specific protein sequences of HIV associate with subsequent infection with specific seque
会议
Augmented inverse probability weightingcensored failure timecompeting risksHI
Spline Smoothing with Large Data
Spline smoothing is widely used in practice.However its application to large data is limited by the high computational cost.In this presentation we introduce several divide and recombine methods and c
会议
divide and recombinelarge datascalable methodspline smoothing
Recent Advances in Personalized Medicine:Optimizing the Value of a Decision in Treatment Decisions
In precision medicine,one of the underlying goals is to determine optimal treatments for individual patients using baseline measurements.Statis-tically,this is a problem of determining a decision func
会议
LOGIT TREE MODELS FOR DISCRETE CHOICE DATA WITH APPLICATION TO ADVICE-SEEKING PREFERENCES AMONG CHIN
Logit models are popular tools for analyzing discrete choice and ranking data.The models assume that judges rate each item with a measurable utility,and the ordering of a judges utilities determines t
会议
Binary dataDecision treeMultinomial dataRanking dataVariable selection
Multiple Confidence Intervals for Selected Parameters Adjusted for the False Coverage Rate in Dose R
Benjamini and Yekutieli(2005)introduced the concept of the false coverage-statement rate(FCR)to account for selection when the confidence intervals are constructed only for the selected parameters.Dos
会议
Dose response studyFCRFDROrder restricted inferenceSelective Inference