Estimation of cut-off points under complex-sampling design data
Iparragirre, Amaia (Universidad del País Vasco)
Barrio Beraza, Irantzu (Universidad del País Vasco. Basque Center for Applied Mathematics)
Aramendi, Jorge (Eustat - Euskal Estatistika Erakundea - Instituto Vasco de Estadística)
Arostegui, Inmaculada (Universidad del País Vasco. Basque Center for Applied Mathematics)

Date:	2022
Abstract:	In the context of logistic regression models, a cut-off point is usually selected to dichotomize the estimated predicted probabilities based on the model. The techniques proposed to estimate optimal cut-off points in the literature, are commonly developed to be applied in simple random samples and their applicability to complex sampling designs could be limited. Therefore, in this work we propose a methodology to incorporate sampling weights in the estimation process of the optimal cut-off points, and we evaluate its performance using a real data-based simulation study. The results suggest the convenience of considering sampling weights for estimating optimal cut-off points.
Grants:	Agencia Estatal de Investigación PID2020-115882RB-I00
Note:	Acknowledgment. This work was fnancially supported in part by grants from the Departamento de Educacion, Política Lingüística y Cultura del Gobierno Vasco [IT1294-19] and by the Spanish State Research Agency through BCAM Severo Ochoa excellence accreditation [SEV-2017-0718] and through project [PID2020-115882RB-I00 / AEI / 10.13039/5011 00011033] funded by Agencia Estatal de Investigacion' and acronym "S3M1P4R"; Basque Government through the [BERC 2018-2021]; the SPRI-Basque Government through the Elkartek project 3KIA [KK-2020/00049]. The work of AI was supported by grant [PIF18/213] and [PES18/26] from the Universidad del País Vasco UPV/EHU.
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	Optimal cut-off points ; Complex survey data ; Sampling weights
Published in:	SORT : statistics and operations research transactions, Vol. 46 Núm. 1 (2022) , p. 137-158 (Articles) , ISSN 2013-8830

Adreça original: https://raco.cat/index.php/SORT/article/view/401147
DOI: 10.2436/20.8080.02.121

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