| 书目名称 | Probability, Statistics and Modelling in Public Health | | 编辑 | Mikhail Nikulin,Daniel Commenges,Catherine Huber | | 视频video | | | 概述 | Marks the advances of statistical methods in public health.Includes supplementary material: | | 图书封面 |  | | 描述 | .Probability, Statistics and Modelling in Public Health. consists of refereed contributions by expert biostatisticians that discuss various probabilistic and statistical models used in public health. Many of them are based on the work of Marvin Zelen of the Harvard School of Public Health. Topics discussed include models based on Markov and semi-Markov processes, multi-state models, models and methods in lifetime data analysis, accelerated failure models, design and analysis of clinical trials, Bayesian methods, pharmaceutical and environmental statistics, degradation models, epidemiological methods, screening programs, early detection of diseases, and measurement and analysis of quality of life. | | 出版日期 | Conference proceedings 2006 | | 关键词 | Estimator; Likelihood; Radiologieinformationssystem; Truncated Data; best fit; data analysis; statistics | | 版次 | 1 | | doi | https://doi.org/10.1007/b136588 | | isbn_softcover | 978-1-4419-3856-5 | | isbn_ebook | 978-0-387-26023-5 | | copyright | Springer-Verlag US 2006 |
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发表于 2025-3-21 17:49:09
