2. 您的位置
3. 首页
4. 会议论文
5. Estimate Variable Importance for Recurrent Event Outcomes with an Application to Identify Hypoglycem

Estimate Variable Importance for Recurrent Event Outcomes with an Application to Identify Hypoglycem

来源 :上海交通大学 | 被引量 : 0次 | 上传用户：whtdongwht

【摘 要】

：

Recurrent event data are important data type for medical research.In particular,many safety endpoints are recurrent outcomes,such as hypoglycemic events.

【作 者】

：

Haoda Fu Ran Duan 

【机 构】

：

Eli Lilly and Company,Indianapolis,IN,USA

【出 处】

：

上海交通大学

【发表日期】

：

2016年4期

【关键词】

：

Gradient Boosting Recurrent Event Data Random Forest Variable Importance Variabl 

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

　　Recurrent event data are important data type for medical research.In particular,many safety endpoints are recurrent outcomes,such as hypoglycemic events.

其他文献

Modeling of covariance structures of random effects and random errors in linear mixed models

In this paper we discuss how to model the mean and covariance structures in linear mixed models,simultaneously.

会议

Covariance modelingEM algorithmLinear mixed modelsLongitudinal data

Measuring Influence of Users in Twitter Ecosystems Using a Counting Process Modeling Framework

Data extracted from social media platforms,such as Twitter,are both large in scale and complex in nature,since they contain both unstructured text,as well as structured data,such as time stamps and in

会议

Social networksinfluencecounting processinference

Recent Advances in Design of Computer Experiments

Computer models have became a routine practice for understanding complicated physical phenomena.Specially-designed experiment is required to run these computer experiments much more efficiently.

会议

A novel chi-square statistic for detecting group differences between pathways in systems epidemiolog

Traditional epidemiology often pays more attention to the identification of a single factor rather than to the pathway that is related to a disease,and therefore,it is difficult to explore the disease

会议

Systems epidemiologyGroup differences between pathwaysChi-square statisticsPa

Real World Data in Pharmaceutical Development

Real world data(RWD)refers to subject-oriented data captured without interference or bias from the environment and methodology of the data collection itself.

会议

Real world datahealth economic burden

Statistical challenges in longitudinal studies with non-ignorable missing data

会议

Modeling Seasonality and Serial Dependence of Electricity Price Curves with Warping Functional Autor

Electricity prices are high dimensional,serially dependent and have seasonal variations.We propose a Warping Functional AutoRegressive(WFAR)model that simultaneously accounts for the cross time-depend

会议

Seasonal functional time seriesWarping functionKarcher mean

A Group Sequential Closed Testing Procedure Based on Simes Test for Clinical Trials with Multiple Ob

To apply a group sequential procedure for clinical trials with multiple subgroups or multiple endpoints,the closed testing procedure based on the Bonferroni test can be used jointly,as a group sequent

会议

Multiplicity adjustmentMultiple objectiveGroup sequential procedureClosed tes

Building Personalized Treatment Regimens from SMART Studies

A dynamic treatment regime is a sequence of decision rules that specify how the dosage and/or type of treatment should be adjusted through time in response to an individuals changing needs.

会议

Sequential Decision makingpersonalized medicineQ-learning

Generalized Linear Mixed Models with Gaussian Mixture Random Effects

会议