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      Aplicación de los modelos de regresión tobit en la modelización de variables epidemiológicas censuradas Translated title: Application of tobit regression models in modelling censored epidemiological variables

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          Abstract

          Muchas variables en estudios epidemiológicos corresponden a medidas continuas obtenidas mediante aparatos de medición con determinados límites de detección, produciendo distribuciones censuradas. La censura, a diferencia del truncamiento, se produce por un defecto de los datos de la muestra. La distribución de una variable censurada es una mezcla entre una distribución continua y otra discreta. En este caso, no es adecuado utilizar el modelo de regresión lineal estimado para mínimos cuadrados ordinarios, ya que proporciona estimaciones sesgadas. Con un único punto de censura debe utilizarse el modelo de regresión censurado (modelo tobit), mientras que cuando hay varios puntos de censura se utiliza la generalización de este modelo. La ilustración de estos modelos se presenta a través del análisis de las concentraciones de mercurio medidas en orina, correspondientes al estudio sobre los efectos para la salud de las emisiones de la incineradora de residuos sólidos de Mataró.

          Translated abstract

          Many variables in epidemiological studies are continuous measures obtained by means of measurement equipments with detection limits, generating censored distributions. The censorship, opposite to the trucation, takes place for a defect of the data of the sample. The distribution of a censored variable is a mixture between a continuous and a categorical distributions. In this case, results from lineal regression models, by means of ordinary least squares, will provide biased estimates. With one only censorhip point the tobit model must be used, while with several censorship points this model's generalization should also be used. The illustration of these models is presented through the analysis of the levels of mercury measured in urine in the study about health effects of a municipal solid-waste incinerator in the county of Mataró (Spain).

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          Estimation of Relationships for Limited Dependent Variables

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            Análisis econométrico

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              Stata Statistical Software: Release 6.0

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                Author and article information

                Journal
                gs
                Gaceta Sanitaria
                Gac Sanit
                Ediciones Doyma, S.L. (Barcelona, Barcelona, Spain )
                0213-9111
                April 2002
                : 16
                : 2
                : 188-194
                Affiliations
                [02] Getafe orgnameUniversidad Carlos III de Madrid orgdiv1Departamento de Estadística y Econometría
                [01] orgnameInstituto de Salud Carlos III orgdiv1Subdirección General de Epidemiología e Información Sanitaria orgdiv2Centro Nacional de Epidemiología
                Article
                S0213-91112002000200013 S0213-9111(02)01600200013
                10.1016/S0213-9111(02)71651-8
                11958756
                91229da2-d16b-4d83-9fbe-09fc64eee719

                This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 International License.

                History
                : 23 May 2001
                : 07 January 2002
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 17, Pages: 7
                Product

                SciELO Public Health

                Categories
                Nota Metodológica

                Modelo tobit,Regression,Regresión,Truncamiento,Censura,Máxima verosimilitud,Truncation,Censorship,Maximum likelihood,Tobit model

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