Merging Multiple Longitudinal Studies with Study-Specific Missing Covariates:A Joint Estimating Func

来源 :上海交通大学 | 被引量 : 0次 | 上传用户:play5
下载到本地 , 更方便阅读
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
  Merging multiple datasets collected from studies with identical or similar scientific objectives is often undertaken in practice to increase statistical power.
其他文献
This study examines the statistical process control chart used to detect a parameter shift with Poisson integer-valued GARCH(INGARCH)models and zero-inflated Poisson INGARCH models.
Monitoring the coefficient of variation(CV)is a successful approach to Statistical Pro-cess Control when the process mean and standard deviation are not constant.
Some diagnostic tests are subject to measurement errors.When a measurement is repeated,it will generally provide different measured values,and then a measured value o and its true value may be differe
This talk discusses mean and variance problems in the context of finite horizon continuoustime Markov decision processes.
Many industrial systems inevitably suffer performance degradation.Thus,predicting the remaining useful life(RUL)for such degrading systems has attracted significant attention in the prognostics commun
Orthogonal Latin hypercube designs and column-orthogonal designs are two kinds of space-filling designs for computer experiments.
Extreme value theory is widely used to analyze the catastrophic risk.
We consider the problem of testing uniformity on high-dimensional unit spheres.We are primarily interested in non-null issues and focus on spiked alternatives.
会议
We propose a logistic learning approach to find optimal individualized treatment rules(ITRs)that maximize the expected clinical outcome for single-stage and multi-stage treatments.