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 Modelling Recurrent Event Data with Application to Cancer Research. Data Analysis with R
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Modelling Recurrent Event Data with Application to Cancer Research. Data Analysis with R

автор Juan R. издательство Книга по Требованию Математический анализ. Кратные и криволинейные интегралы. Задачи, решения
Cтраниц 184        мягкая обложка       
Аннотация:Each chapter of this book ends with an illustration of how to use these packages to fit models. The author, jointly with other colleagues, has written three R packages, freely available at CRAN (http: : // www. r-project. org) designed to analyze recurrent event data: gcmrec, survrec and frailtypack. The aim of this book is to show how to analyze survival data with the presence of recurrent events applied to cancer settings. Modern techniques such as penalized likelihood approach, nonparametric smoothig and bootstrapping are developed and used when appropriate. Many of the models discussed are those widely used in this area. Throughout, the emphasis is on presenting analysis of real data. These analyses should help biostatisticians, clinicians or medical doctors to analyze their own data arising form studies where the main aim is to describe those clinical factors that are associated with the time until a new event occurs taking into account the repeated nature of the data. These packages also contain the real data sets analyzed in this book. In addition, a new model specially designed for analyzing cancer data is presented.
Автор: Juan R.
Издательство: Книга по Требованию
Год:2009
Цена:
2768 руб
Нет в наличии
Поиск: Modelling Recurrent Event Data with Application to Cancer Research. Data Analysis with R
НОВЫЙ ГОД СИМВОЛ 2013 ГОДАУКРАШЕНИЯ
КАРНАВАЛ НА НОВЫЙ ГОД РАСПРОДАЖА
Ортомолекулярная медицина Orthomol Устрание причин заболеваний. Ортомоль это новый метод для лечения и профилактики болезней. Orthomol - ортомолекулярная медицина.
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