期刊
ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS
卷 74, 期 4, 页码 615-637出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s10463-022-00831-9
关键词
Shrinkage of predictions; Selectivity bias; Model sensitivity; Publication bias
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.
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