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Exact unbiased covariance estimation for modified least-squares regression with binary outcomes Cover

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Exact unbiased covariance estimation for modified least-squares regression with binary outcomes

Biometrical Letters

By: Takahiro Kitano and Hisashi Noma

Open Access

|Nov 2026

Takahiro Kitano

The Graduate Institute for Advanced Studies, The Graduate University for Advanced Studies, Tokyo, Japan

Hisashi Noma

The Graduate Institute for Advanced Studies, The Graduate University for Advanced Studies, Tokyo, Japan

Department of Interdisciplinary Statistical Mathematics, The Institute of Statistical Mathematics, Tokyo, Japan

Articles in this issue

DOI: https://doi.org/10.2478/bile-2026-0012 | Journal eISSN: 2199-577X (formerly 1896-3811) | Journal ISSN: 1896-3811

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Language: English

Published on: Nov 10, 2026

Published by: Polish Biometric Society

In partnership with: Paradigm Publishing Services

Keywords:

binary outcome,

finite-sample bias,

heteroskedasticity,

modified least-squares regression,

risk difference,

sandwich covariance

Related subjects:

Bioinformatics,

Life sciences, other,

Probability and statistics,

Applied mathematics

© 2026 Takahiro Kitano, Hisashi Noma, published by Polish Biometric Society
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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