Prediction of long term outcome from pathological complete response for early breast cancer

来源 :上海交通大学 | 被引量 : 0次 | 上传用户:aghiiuooo
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
  As the treatments for breast cancer improve,disease free survival time is extensively prolonged and pharmaceutical developer faces a new challenge in clinical trial design and conduct based on long term outcome.
其他文献
We consider large-scale studies in which thousands of significance tests are performed simultaneously.
Array-based CGH experiments are designed to detect genomic aberrations or regions of DNA copy-number variation that are associated with an outcome,typically a state of disease.
The identification of genes determining spatial-temporal changes of ecological interactions is of paramount importance for ecological and evolutionary research.
Some existing confidence interval methods and hypothesis testing methods in the analysis of a contingency table with incomplete observations in both margins entirely depend on an underlying assumption
会议
Although complete randomization ensures covariate balance on average,the chance for observing significant differences between treatment and control covariate distributions is high especially with many
We consider the problem associated to recovering the block structure of an Ising model given independent observations on the binary hypercube.
Testing for white noise is a classical yet important problem in statistics,especially for diagnostic checks in time series modeling.
This talk discusses the average value-at-risk(AVaR)criterion for finite horizon semi-Markov decision processes(SMDPs)in continuous-time.
In this talk,I will give some kinds of risk model with dependence structure,and some criteria under which we discuss the optimization problems.
Data Science programs,including academic,professional,short course and boot-camps,now abound worldwide.