Sperrin, Matthew and Jaki, Thomas (2010) Direct effects testing : a two-stage procedure to test for effect size and variable importance for correlated binary predictors and a binary response. Statistics in Medicine, 29 (24). pp. 2544-2556.
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Official URL: http://dx.doi.org/10.1002/sim.4014
| Item Type: | Article |
|---|---|
| Journal or Publication Title: | Statistics in Medicine |
| Additional Information: | This is a pre-print of an article published in Statistics in Medicine, 29 (24), 2010. (c) Wiley. |
| Subjects: | Q Science > QA Mathematics |
| Departments: | Faculty of Science and Technology > Mathematics and Statistics |
| ID Code: | 27756 |
| Deposited By: | Mr Matthew Sperrin |
| Deposited On: | 29 Oct 2009 13:54 |
| Refereed?: | No |
| Published?: | Published |
| Last Modified: | 26 Jul 2012 16:42 |
| Identification Number: | |
| URI: | http://eprints.lancs.ac.uk/id/eprint/27756 |
Available Versions of this Item
- Direct Effects Testing : A Two-Stage procedure to Test for Effect Size and Variable Importance for Correlated Binary Predictors and a Binary Response. (deposited 23 Feb 2009 14:05)
- Direct effects testing : a two-stage procedure to test for effect size and variable importance for correlated binary predictors and a binary response. (deposited 29 Oct 2009 13:54)[Currently Displayed]
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