Surprise sampling: improving and extending the local case-control sampling

DOI10.1214/21-EJS1844zbMath1471.62249arXiv2007.02633OpenAlexW3158114995MaRDI QIDQ2044385

Xinwei Shen, Wen Yu, Kani Chen

Publication date: 9 August 2021

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2007.02633

zbMATH Keywords

generalized linear modelssubsamplingmodel misspecificationHorvitz-Thompson estimatorlocal case-control sampling

Mathematics Subject Classification ID

Generalized linear models (logistic models) (62J12) Sampling theory, sample surveys (62D05)

Cites Work

• Unnamed Item
• Local case-control sampling: efficient subsampling in imbalanced data sets
• Generalized Case–cohort Sampling
• End-point sampling
• A case-cohort design for epidemiologic cohort studies and disease prevention trials
• Logistic disease incidence models and case-control studies
• Case-cohort and case-control analysis with Cox's model
• Optimal Subsampling for Large Sample Logistic Regression
• Information-Based Optimal Subdata Selection for Big Data Linear Regression
• Separate sample logistic discrimination
• A Generalization of Sampling Without Replacement From a Finite Universe

This page was built for publication: Surprise sampling: improving and extending the local case-control sampling