Modelo de regresión semiparamétrico con datos censurados
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Modelo de regresión semiparamétrico con datos censurados

Modelo de regresión semiparamétrico con datos censurados


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About the Book

Muchos estudios están asociados con la modelación de una variable que se refiere a la duración. A través de la historia se han realizado estudios cuya investigación está centrada en el análisis de dicha variable, ejemplo: tiempo de sobrevivencia de un individuo desde que se le diagnóstica una enfermedad hasta que muere. Un aspecto fundamental a tener en cuenta está relacionado con el tipo de datos utilizados, en los cuales por su misma naturaleza está presente la censura. Construir modelos que representen de manera adecuada el proceso generador de datos para una variable temporal es el objeto de estudio. El objetivo es extender los resultados de Cox y Stute y analizar una variable cuya información estará recogida en forma no paramétrica. La parte relevante lo constituye la forma en que es recogido el efecto que una variable temporal ejerce sobre la variable asociada con la sobrevivencia, la cual modelaremos. Luego se presenta un caso de aplicación donde se analizan datos sobre eventos coronarios, se exponen resultados que permiten obtener conclusiones representativas que serán de utilidad en la toma de decisiones.


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Product Details
  • ISBN-13: 9783659076770
  • Publisher: Eae Editorial Academia Espanola
  • Binding: Paperback
  • Language: Spanish
  • Returnable: N
  • Spine Width: 4 mm
  • Width: 152 mm
  • ISBN-10: 3659076775
  • Publisher Date: 02 Aug 2013
  • Height: 229 mm
  • No of Pages: 68
  • Series Title: Spanish
  • Weight: 163 gr


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