4.2 Article

Akaike Memorial Lecture 2020: Some of the challenges of statistical applications

期刊

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s10463-022-00831-9

关键词

Shrinkage of predictions; Selectivity bias; Model sensitivity; Publication bias

向作者/读者索取更多资源

There is a close link between statistical applications and the development of new statistical theory and methods, challenges in applications can lead to new statistical ideas. The current focus is on publication bias, which is an important issue in interpreting literature reviews.
There has always been a close link between statistical applications and the development of new statistical theory and methods. Even straightforward applications of standard methods can give rise to theoretical challenges leading to new statistical ideas. In my lecture, I will briefly review a few of the statistical developments in my own published papers and describe the applications which gave rise to them. I will then outline some current work on publication bias, one of the outstanding problems in the interpretation of literature reviews, particularly in the medical sciences.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.2
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据