On doubly robust estimation in a semiparametric odds ratio model
We consider the doubly robust estimation of the parameters in a semiparametric conditional odds ratio model. Our estimators are consistent and asymptotically normal in a union model that assumes either of two variation independent baseline functions is correctly modelled but not necessarily both. Fu...
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Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_00063444_v97_n1_p171_TchetgenTchetgen |
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todo:paper_00063444_v97_n1_p171_TchetgenTchetgen2023-10-03T14:05:01Z On doubly robust estimation in a semiparametric odds ratio model Tchetgen Tchetgen, E.J. Robins, J.M. Rotnitzky, A. Doubly robust Generalized odds ratio Locally efficient Semiparametric logistic regression We consider the doubly robust estimation of the parameters in a semiparametric conditional odds ratio model. Our estimators are consistent and asymptotically normal in a union model that assumes either of two variation independent baseline functions is correctly modelled but not necessarily both. Furthermore, when either outcome has finite support, our estimators are semiparametric efficient in the union model at the intersection submodel where both nuisance functions models are correct. For general outcomes, we obtain doubly robust estimators that are nearly efficient at the intersection submodel. Our methods are easy to implement as they do not require the use of the alternating conditional expectations algorithm of Chen (2007). 2009 Biometrika Trust. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_00063444_v97_n1_p171_TchetgenTchetgen |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
Doubly robust Generalized odds ratio Locally efficient Semiparametric logistic regression |
spellingShingle |
Doubly robust Generalized odds ratio Locally efficient Semiparametric logistic regression Tchetgen Tchetgen, E.J. Robins, J.M. Rotnitzky, A. On doubly robust estimation in a semiparametric odds ratio model |
topic_facet |
Doubly robust Generalized odds ratio Locally efficient Semiparametric logistic regression |
description |
We consider the doubly robust estimation of the parameters in a semiparametric conditional odds ratio model. Our estimators are consistent and asymptotically normal in a union model that assumes either of two variation independent baseline functions is correctly modelled but not necessarily both. Furthermore, when either outcome has finite support, our estimators are semiparametric efficient in the union model at the intersection submodel where both nuisance functions models are correct. For general outcomes, we obtain doubly robust estimators that are nearly efficient at the intersection submodel. Our methods are easy to implement as they do not require the use of the alternating conditional expectations algorithm of Chen (2007). 2009 Biometrika Trust. |
format |
JOUR |
author |
Tchetgen Tchetgen, E.J. Robins, J.M. Rotnitzky, A. |
author_facet |
Tchetgen Tchetgen, E.J. Robins, J.M. Rotnitzky, A. |
author_sort |
Tchetgen Tchetgen, E.J. |
title |
On doubly robust estimation in a semiparametric odds ratio model |
title_short |
On doubly robust estimation in a semiparametric odds ratio model |
title_full |
On doubly robust estimation in a semiparametric odds ratio model |
title_fullStr |
On doubly robust estimation in a semiparametric odds ratio model |
title_full_unstemmed |
On doubly robust estimation in a semiparametric odds ratio model |
title_sort |
on doubly robust estimation in a semiparametric odds ratio model |
url |
http://hdl.handle.net/20.500.12110/paper_00063444_v97_n1_p171_TchetgenTchetgen |
work_keys_str_mv |
AT tchetgentchetgenej ondoublyrobustestimationinasemiparametricoddsratiomodel AT robinsjm ondoublyrobustestimationinasemiparametricoddsratiomodel AT rotnitzkya ondoublyrobustestimationinasemiparametricoddsratiomodel |
_version_ |
1807316056166891520 |