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Índice para comparar metodologías de estimación por intervalos para las tasas estandarizadas directas
Index for comparing interval estimation methodologies for direct standardized rates
DOI:
https://doi.org/10.15446/revfaccienc.v10n1.84225Keywords:
Tasas estandarizadas, epidemiología, confusión, intervalos de confianza, bioestadística (es)Standardized rates, epidemiology, confusion, condence intervals, biostatistics (en)
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Las tasas estandarizadas se utilizan para comparar un evento en una poblacion de estudio con una población estandar controlando los efectos confusores y ademas permiten dimensionar el evento de acuerdo a un mismo estandar. En este trabajo se evaluan con un estudio de simulacion y por medio de un nuevo ndice, los desempeños de varias metodologías para la estimación de las tasas estandarizadas a través de intervalos de conanza, algunas basadas en la distribución normal, Poisson y gamma. Este nuevo índice permite considerar tanto el nivel de cobertura como la amplitud del intervalo y evaluar la calidad de cada uno de los intervalos evaluados conjuntamente. Se identican los metodos de intervalos de conanza con mejor desempeño de acuerdo al índice propuesto, entre estos se destacan los métodos gamma, el de momentos y bootstrap.
The standardized rates are used to compare an event in a study population with a standard population controlling the confounding efects and also allow the event to be dimensioned according to the same standard. In this paper, the performance of several methodologies for the estimation of standardized rates through condence intervals, some based on the normal distribution, Poisson and gamma, are evaluated with a simulation study and by means of a new index. This new index allows us to consider both the level of coverage and the amplitude of the interval and evaluate the quality of each of the intervals evaluated jointly. The methods of condence intervals with better performance according to the proposed index are identied, among these are the gamma, moments and bootstrap methods.
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