The Cox Model and Its Applications

Mikhail Nikulin

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商品描述

This book will be of interest to readers active in the fields of survival analysis, genetics, ecology, biology, demography, reliability and quality control.

 

Since Sir David Cox’s pioneering work in 1972, the proportional hazards model has become the most important model in survival analysis. The success of the Cox model stimulated further studies in semiparametric and nonparametric theories, counting process models, study designs in epidemiology, and the development of many other regression models that could offer more flexible or more suitable approaches in data analysis.

 

Flexible semiparametric regression models are increasingly being used to relate lifetime distributions to time-dependent explanatory variables. Throughout the book, various recent statistical models are developed in close connection with specific data from experimental studies in clinical trials or from observational studies.

商品描述(中文翻譯)

這本書對於在生存分析、遺傳學、生態學、生物學、人口統計學、可靠性和品質控制等領域活躍的讀者會很有興趣。

自從David Cox爵士在1972年的開創性工作以來,比例風險模型已成為生存分析中最重要的模型。Cox模型的成功促使了半參數和非參數理論、計數過程模型、流行病學研究設計以及許多其他回歸模型的進一步研究,這些模型可以在數據分析中提供更靈活或更適合的方法。

靈活的半參數回歸模型越來越多地被用於將生命期分佈與時間相關的解釋變量相關聯。在整本書中,各種最近的統計模型與臨床試驗的實驗研究數據或觀察研究數據密切相關地發展起來。