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http://hdl.handle.net/1942/420
Title: | A quadratic bootstrap method and improved estimation in logistic regression | Authors: | CLAESKENS, Gerda AERTS, Marc MOLENBERGHS, Geert |
Issue Date: | 2002 | Publisher: | ELSEVIER SCIENCE BV | Source: | 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. | Keywords: | bias correction; bootstrap confidence interval; one-step bootstrap; logistic regression | Document URI: | http://hdl.handle.net/1942/420 | ISSN: | 0167-7152 | e-ISSN: | 1879-2103 | DOI: | 10.1016/S0167-7152(02)00397-8 | ISI #: | 000181313500005 | Rights: | (C) 2002 Elsevier Science B.V. All rights reserved. | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2004 |
Appears in Collections: | Research publications |
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File | Description | Size | Format | |
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molg06.pdf | Peer-reviewed author version | 139.06 kB | Adobe PDF | View/Open |
a.pdf Restricted Access | Published version | 156.38 kB | Adobe PDF | View/Open Request a copy |
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