• 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. Using Longitudinal Biomarker Data to Dynamically Predict Time to Disease Progression

Using Longitudinal Biomarker Data to Dynamically Predict Time to Disease Progression

来源 :上海交通大学 | 被引量 : 0次 | 上传用户：chunzhu520
【摘 要】
：
Dynamic prediction is an important statistical tool for aiding medical decision-making,such as early detection of disease onset,post-treatment monitoring of disease prognosis.For this purpose,subjects
【作 者】
：
Xuelin Huang Fangrong Yan Jing Ning Ruosha Li Ziding Feng Sangbum Choi Jorge Cortes 
【机 构】
：
The University of Texas MD Anderson Cancer Center,Houston TX,77030,USA
【出 处】
：
上海交通大学
【发表日期】
：
2016年4期
【关键词】
：
biomarker dynamic prediction landmark analysis longitudinal data survival analys 
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
　　Dynamic prediction is an important statistical tool for aiding medical decision-making,such as early detection of disease onset,post-treatment monitoring of disease prognosis.For this purpose,subjects biomarker values are repeatedly measured over time during follow-up visits.Pre-dictions are conducted on a real-time basis so that at any time during follow-up,as soon as a new biomarker value is obtained,the prediction can be updated immediately to reflect the latest prognosis.
其他文献
BOUNDARY CROSSING PROBABILITIES FOR HIGH-DIMENSIONAL BROWNIAN MOTION WITH APPLICATIONS
Boundary crossing probabilities of Brownian motion have been broadly applied in numerous areas within physics,biology and chemistry.In this presentation,high-dimensional boundary crossing probabilitie
会议
Unbounded convex hullFirst collisionThreshold regression
iXplore:Software for Reproducible Interactive Data Visualization and Exploration
Data visualization and exploration are a key step towards insightful discoveries for most data-driven scientific research.Some existing software tools allow users to interactively visualize and explor
会议
ReproducibilityData AnalysisData VisualizationStatistical Software
SAMPLING UNDER CONSTRAINTS:SOME ENVIRONMENTAL APPLICATIONS
Environmental monitoring often involves the collection of data on a sample of units drawn randomly from a finite population.From a practical point of view,some samples might not be feasible; the selec
会议
Auxiliary informationCluster samplingCube methodMulti-stage surveysStratifie
Methods for Identifying Promising Subpopulations of Patients
会议
Most powerful statistics for RNA-seq and image association analysis and its application to kidney ca
The structure of biomedical images of the tissue of human body is strongly shaped by the genetic and expression variation.Imaging genomics uses measure of imaging as endophenotype and attempts to find
会议
Sparse structural equationscausal inferenceimage-genomicsregulatory networks
Modeling Strategies for Developing Differential Response to Treatment Indices(DRTI)
We discuss methods for combining pretreatment covariates into a single variable with the goal of developing an interpretable index for differential prediction of response to treatment,that could be us
会议
combining predictorseffect modificationtreatment decision rulevalue of a trea
Inference on Subgroups and All-comers Cognizant of Logical Relationships Among Efficacy Parameters
In one aspect of personalized medicine development,the patient population is thought of as a mixture of two subgroups that might derive differential efficacy,given treatment versus control.An importan
会议
Biomarkerssubgroup identificationPartition testingconsistencylogical relatio
Non-and Semi-Parametric Analysis of Dependently Interval-Censored Failure Time Data Due to Intermitt
Event history studies based on disease clinic data often have to deal with irregular intermittent observation of individuals.Furthermore,the times of clinic visits may depend on a persons history of d
会议
Dependent interval censoringMonotone smoothingNon-and semi-parametric estimati
A Nonparametric Bayesian Approach for Sparse Sequence Estimation
We propose a nonparametric Bayesian approach to estimate a sparse sequence based on Gaussian random variables.
会议
Empirical BayesCompound DecisionVariationalPosterior Consistency
IDENTIFYING HIGH-VALUE TREATMENT POPULATIONS IN REAL-WORLD DATA
Average effect of health interventions across broad populations was the traditional focus of comparative effectiveness research.
会议
Individualized medicineReal-world data