The Cox Model and Its Applications
暫譯: 考克斯模型及其應用
Mikhail Nikulin
- 出版商: Springer
- 出版日期: 2016-04-19
- 定價: $2,250
- 售價: 8.0 折 $1,800
- 語言: 英文
- 頁數: 140
- 裝訂: Paperback
- ISBN: 3662493314
- ISBN-13: 9783662493311
-
相關分類:
生物資訊 Bioinformatics、機率統計學 Probability-and-statistics、Data Science
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相關主題
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)
這本書將吸引活躍於生存分析、遺傳學、生態學、生物學、人口統計學、可靠性及品質控制領域的讀者。
自從大衛·考克斯爵士(Sir David Cox)於1972年進行開創性工作以來,比例風險模型已成為生存分析中最重要的模型。考克斯模型的成功促進了對半參數和非參數理論、計數過程模型、流行病學研究設計的進一步研究,以及許多其他回歸模型的發展,這些模型能夠提供更靈活或更合適的數據分析方法。
靈活的半參數回歸模型越來越多地被用來將壽命分佈與時間依賴的解釋變數相關聯。在整本書中,將根據臨床試驗的實驗研究或觀察研究的具體數據,發展各種最近的統計模型。