• 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. A Bayesian Hierarchical Model to Account for Excessive Zero Counts for the Safety Signal Detection

A Bayesian Hierarchical Model to Account for Excessive Zero Counts for the Safety Signal Detection

来源 :上海交通大学 | 被引量 : 0次 | 上传用户：qianxr
【摘 要】
：
Evaluation of safety is a critical component of drug review by regulatory agencies.Statisticians are playing an increasingly visible role in quantitative safety evaluation and regulatory decision-maki
【作 者】
：
Aileen Zhu 
【机 构】
：
Beijing Novartis Pharma Co.,Ltd.,201210,Shanghai(Site),China
【出 处】
：
上海交通大学
【发表日期】
：
2016年4期
【关键词】
：
Bayesian hierarchical model safety signal detection zero-inflated Poisson multip 
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
　　Evaluation of safety is a critical component of drug review by regulatory agencies.Statisticians are playing an increasingly visible role in quantitative safety evaluation and regulatory decision-making(Chakravarty 2016).An appropriate quantitative evaluation of drug safety data should be able to identify drug safety issues while minimizing the amount of false positive findings.
其他文献
Sequential designs for individualized dosing finding
This paper addresses dose finding in clinical trials where individuals exhibit biologic characteristics that alter the toxicity risks of the individuals.In these situations,instead of determining a do
会议
Adaptive designcoherenceeigenvalue constraintleast squares recursionprecisio
COMMON AND DISTINCTIVE FEATURES OF SURVIVAL AND RELIABILITY.ACCELERATED VERSUS THRESHOLD REGRESSION
For a given system,either biological or technological,survival and reliability analysis study the waiting time X for an event to occur(death,recovery,failure of a component)or else the successive sojo
会议
SurvivalReliabilityAcceleratedCox and Threshold Regression models
REGULARIZATION PARAMETER SELECTION METHODS FOR KERNEL RIDGE REGRESSION
Despite numerous successes of the kernel ridge regression,it remains largely unclear how to select regularization parameter in different scenarios.The aim of this paper is to systematically study such
会议
average mean-squared error minimizerBayesian approachfrequentist approachkern
Estimating the predictive value of continuous markers for censored survival data using a likelihood
The likelihood ratio function(LR)provides an easily interpretable measure for the value of risk prediction markers,and has been explored for both binary and continuous markers of a binary outcome(e.g.
会议
predictive valuelikelihood ratiosurvival data
A semiparametric likelihood-based method for regression analysis of mixed panel-count data
Panel-count data arise when each study subject is observed only at discrete time points in a recurrent event study.Observed data include only the numbers of occurrences of the event of interest betwee
会议
Maximum likelihood approachPanel-binary dataPanel-count dataRegression analys
R shiny App for an Adaptive Bayesian Sequential Design:Interactive Onsite Treatment Assignments
Nowadays,Adaptive Bayesian Sequential Design(ABSD)has been increasingly applied in various phase Ⅰ and Ⅱ clinical trials.The advantages of a ABSD includes more power in identifying the most effective
会议
Clinical TrialsAdaptive DesignR ShinyBayesian
A New Method for Change Point Estimation in Case of Historical Data - An Illustration with Global An
Motivation towards development of methods related to Change Point Estimation in long historical data has received a greater impetus in the last three/four decades only and there exists a good number o
会议
Change point estimationdivergence
Point process adaptive filters and the analysis of neural spiking dynamics
Although it is well known that brain areas receive,process and transmit information via sequences of sudden,stereotyped electrical impulses,called action potentials or spikes,most analyses of neural d
会议
Point processesComputational NeuroscienceState space modelingAdaptive filteri
On-line Monitoring Data Quality of High-dimensional Data Streams
In recent years,effective monitoring of data quality has increasingly attracted attention of researchers in the area of statistical process control(SPC).Among the relevant research on this topic,none
会议
Data qualityFalse discovery rateMEWMAStatistical process control
MONITORING LARGE SPARSE CONTINGENCY TABLE IN MULTIVARIATE CATEGORICAL PROCESS
In modern statistic process control(SPC),more and more real applications involve multiple categorical quality characteristics,whose distribution can be displayed by contingency table.Traditional metho
会议
Contingency TableGroup LassoLog-linearMultivariate Statistical Process Contro