Semi-parametric generalized estimating equations for repeated measurements in cross-over designs

Semi-parametric generalized estimating equations for repeated measurements in cross-over designs

A model for cross-over designs with repeated measures within each period was developed. It is obtained using an extension of generalized estimating equations that includes a parametric component to model treatment effects and a non-parametric component to model time and carryover effects; the estima...

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Detalles Bibliográficos
Autores principales: Cruz, N. A., Melo, O.O., Martinez, C.A.
Formato: article
Lenguaje:Inglés
Publicado: Cornell University 2024
Materias:
Investigación agropecuaria - A50
Cruzamiento
Ecuación
Distribución económica
Transversal
http://aims.fao.org/aos/agrovoc/c_1976
http://aims.fao.org/aos/agrovoc/c_8bc08746
http://aims.fao.org/aos/agrovoc/c_2338
Acceso en línea:https://arxiv.org/abs/2209.05413
http://hdl.handle.net/20.500.12324/40373
id RepoAGROSAVIA40373
record_format dspace
institution Corporación Colombiana de Investigación Agropecuaria
collection Repositorio AGROSAVIA
language Inglés
topic Investigación agropecuaria - A50
Cruzamiento
Ecuación
Distribución económica
Transversal
http://aims.fao.org/aos/agrovoc/c_1976
http://aims.fao.org/aos/agrovoc/c_8bc08746
http://aims.fao.org/aos/agrovoc/c_2338
spellingShingle Investigación agropecuaria - A50
Cruzamiento
Ecuación
Distribución económica
Transversal
http://aims.fao.org/aos/agrovoc/c_1976
http://aims.fao.org/aos/agrovoc/c_8bc08746
http://aims.fao.org/aos/agrovoc/c_2338
Cruz, N. A.
Melo, O.O.
Martinez, C.A.
Semi-parametric generalized estimating equations for repeated measurements in cross-over designs
description A model for cross-over designs with repeated measures within each period was developed. It is obtained using an extension of generalized estimating equations that includes a parametric component to model treatment effects and a non-parametric component to model time and carryover effects; the estimation approach for the non-parametric component is based on splines. A simulation study was carried out to explore the model properties. Thus, when there is a carry-over effect or a functional temporal effect, the proposed model presents better results than the standard models. Among the theoretical properties, the solution is found to be analogous to weighted least squares. Therefore, model diagnostics can be made adapting the results from a multiple regression. The proposed methodology was implemented in the data sets of the crossover experiments that motivated the approach of this work: systolic blood pressure and insulin in rabbits.
format article
author Cruz, N. A.
Melo, O.O.
Martinez, C.A.
author_facet Cruz, N. A.
Melo, O.O.
Martinez, C.A.
author_sort Cruz, N. A.
title Semi-parametric generalized estimating equations for repeated measurements in cross-over designs
title_short Semi-parametric generalized estimating equations for repeated measurements in cross-over designs
title_full Semi-parametric generalized estimating equations for repeated measurements in cross-over designs
title_fullStr Semi-parametric generalized estimating equations for repeated measurements in cross-over designs
title_full_unstemmed Semi-parametric generalized estimating equations for repeated measurements in cross-over designs
title_sort semi-parametric generalized estimating equations for repeated measurements in cross-over designs
publisher Cornell University
publishDate 2024
url https://arxiv.org/abs/2209.05413
http://hdl.handle.net/20.500.12324/40373
work_keys_str_mv AT cruzna semiparametricgeneralizedestimatingequationsforrepeatedmeasurementsincrossoverdesigns
AT melooo semiparametricgeneralizedestimatingequationsforrepeatedmeasurementsincrossoverdesigns
AT martinezca semiparametricgeneralizedestimatingequationsforrepeatedmeasurementsincrossoverdesigns
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spelling RepoAGROSAVIA403732024-11-06T03:02:28Z Semi-parametric generalized estimating equations for repeated measurements in cross-over designs Semi-parametric generalized estimating equations for repeated measurements in cross-over designs Cruz, N. A. Melo, O.O. Martinez, C.A. Investigación agropecuaria - A50 Cruzamiento Ecuación Distribución económica Transversal http://aims.fao.org/aos/agrovoc/c_1976 http://aims.fao.org/aos/agrovoc/c_8bc08746 http://aims.fao.org/aos/agrovoc/c_2338 A model for cross-over designs with repeated measures within each period was developed. It is obtained using an extension of generalized estimating equations that includes a parametric component to model treatment effects and a non-parametric component to model time and carryover effects; the estimation approach for the non-parametric component is based on splines. A simulation study was carried out to explore the model properties. Thus, when there is a carry-over effect or a functional temporal effect, the proposed model presents better results than the standard models. Among the theoretical properties, the solution is found to be analogous to weighted least squares. Therefore, model diagnostics can be made adapting the results from a multiple regression. 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