ArticleJournal of the Royal Statistical Society. Series C, Applied statistics2024
Inverse set estimation and inversion of simultaneous confidence intervals.
Article in Journal of the Royal Statistical Society. Series C, Applied statistics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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
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Who cites it
3 citing papers in PubMed.
- Spatio-Temporal Modeling and Spatial Inference Using NA-CORDEX Climate Data.Journal of agricultural, biological, and environmental statistics · 2026Article
- Simultaneous confidence regions for image excursion sets: A validation study with applications in fMRI.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Semiparametric confidence sets for cross-sectional and longitudinal neuroimaging.Imaging neuroscience (Cambridge, Mass.) · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Motivated by the questions of risk assessment in climatology (temperature change in North America) and medicine (impact of statin usage and coronavirus disease 2019 on hospitalized patients), we address the problem of estimating the set in the domain of a function whose image equals a predefined subset of the real line. Existing methods require strict assumptions. We generalize the estimation of such sets to dense and nondense domains with protection against inflated Type I error in exploratory data analysis. This is achieved by proving that confidence sets of multiple upper, lower, or interval sets can be simultaneously constructed with the desired confidence nonasymptotically through inverting simultaneous confidence intervals. Nonparametric bootstrap algorithm and code are provided.
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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.