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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/420

Title: A quadratic bootstrap method and improved estimation in logistic regression
Authors: Claeskens, Gerda
Aerts, Marc
Molenberghs, Geert
Keywords: Non and semiparametric methods
Categorical data
Issue Date: 2002
Citation: Statistics and Probability Letters, 61(4). PII S0167-7152(02)00397-8. p. 383-394
Abstract: This paper presents a quadratic one-step bootstrap method for binary response data. Rather than resampling from the original sample, the proposed method resamples summands appearing in the quadratic approximation of the estimates. It enjoys the same computational simplicity as its linear analogue while being more accurate. Moreover it allows the construction of a bias corrected estimator and improved confidence intervals. A small simulation study illustrates the improved finite sample behaviour for binary response data.
URI: http://hdl.handle.net/1942/420
DOI: 10.1016/S0167-7152(02)00397-8
ISI #: 000181313500005
ISSN: 0167-7152
Category: A1
Type: Journal Contribution
Validation: ecoom, 2004
Appears in Collections: Research publications

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