Filippou, P. and Marra, G. and Radice, Rosalba (2017) Penalized likelihood estimation of a trivariate additive probit model. Biostatistics 18 (3), pp. 569-585. ISSN 1465-4644.
This is the latest version of this item.
|
Text
Paper16261.pdf - Author's Accepted Manuscript Download (1MB) | Preview |
|
|
Text
Supp material_TRIV.pdf - Supplemental Material Download (457kB) | Preview |
Abstract
This paper proposes a penalized likelihood method to estima te a trivariate probit model, which accounts for several types of covariate effects (such as linear, nonl inear, random and spatial effects), as well as error correlations. The proposed approach also addresses the dif ficulty in estimating accurately the correlation coefficients, which characterize the dependence of binary r esponses conditional on covariates. The param- eters of the model are estimated within a penalized likeliho od framework based on a carefully structured trust region algorithm with integrated automatic multiple smoothing parameter selection. The relevant nu- merical computation can be easily carried out using the SemiParTRIV() function in a freely available R package. The proposed method is illustrated through a case s tudy whose aim is to model jointly adverse ∗ To whom correspondence should be addressed. c The Author 2017. Published by Oxford University Press. All r ights reserved. For permissions, please e-mail: journals.p ermissions@oup.com 2 P. F ILIPPOU , G. M ARRA AND R. R ADICE birth binary outcomes in North Carolina.
Metadata
| Item Type: | Article |
|---|---|
| Additional Information: | This is a pre-copyedited, author-produced PDF of an article accepted for publication following peer review. The version of record is available online at the link above. |
| Keyword(s) / Subject(s): | additive predictor, correlation-based penalty, penalized regression spline, simultaneous parameter estima- tion, trivariate probit model |
| School: | Birkbeck Faculties and Schools > Faculty of Business and Law > Birkbeck Business School |
| Depositing User: | Rosalba Radice |
| Date Deposited: | 15 Feb 2017 11:48 |
| Last Modified: | 02 Aug 2023 17:31 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/18129 |
Available Versions of this Item
- Penalized likelihood estimation of a trivariate additive probit model. (deposited 15 Feb 2017 11:48) [Currently Displayed]
Statistics
Additional statistics are available via IRStats2.
Archive Staff Only (login required)
