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Estimation of cut-off points under complex-sampling design data

Authors: Iparragirre, Amaia; Barrio, Irantzu; Aramendi, Jorge; Arostegui, Inmaculada;

Estimation of cut-off points under complex-sampling design data

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.

Peer Reviewed

Keywords

optimal cut-off points, Generalized linear models (logistic models), 62J Inferència lineal, regressió, Classificació AMS::62 Statistics::62D05 Sampling theory, sample surveys, enquestes de mostreig, Classificació AMS::62 Statistics::62P Applications, sample surveys, Classificació AMS::62 Statistics::62D05 Sampling theory, Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica, Sampling theory, sample surveys, Complex survey data, regressió, Sampling (Statistics), 62J Inferència lineal, sampling weights, Classificació AMS::62 Statistics::62J Linear inference, Applications of statistics to social sciences, 62D05 Teoria del mostreig, enquestes de mostreig, Classificació AMS::62 Statistics::62J Linear inference, regression, Optimal cut-off points, Mathematical statistics ; Regression analysis, Mathematical statistics, Sampling weights, 62D05 Teoria del mostreig, regression, complex survey data, Regression analysis, 62P Aplicacions

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average