ArticleAustralian & New Zealand journal of statistics2018
A survey of high dimension low sample size asymptotics.
Article in Australian & New Zealand journal of statistics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- QuanDA: Quantile-Based Discriminant Analysis for High-Dimensional Imbalanced Classification.Advances in neural information processing systems · 2025Article
- Iron homeostasis and cytokine responses in Gabonese children with febrile illness.Communications medicine · 2025Article
- Testing homogeneity: the trouble with sparse functional data.Journal of the Royal Statistical Society. Series B, Statistical methodology · 2023Article
- James-Stein for the leading eigenvector.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Resolution of the curse of dimensionality in single-cell RNA sequencing data analysis.Life science alliance · 2022Article
- diproperm: An R Package for the DiProPerm Test.The R journal · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Peter Hall's work illuminated many aspects of statistical thought, some of which are very well known including the bootstrap and smoothing. However, he also explored many other lesser known aspects of mathematical statistics. This is a survey of one of those areas, initiated by a seminal paper in 2005, on high dimension low sample size asymptotics. An interesting characteristic of that first paper, and of many of the following papers, is that they contain deep and insightful concepts which are frequently surprising and counter-intuitive, yet have mathematical underpinnings which tend to be direct and not difficult to prove.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.