Items related to Likelihood Methods in Survival Analysis (Chapman &...
- PublisherChapman and Hall/CRC
- Publication date2024
- ISBN 10 0815362846
- ISBN 13 9780815362845
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages400
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Likelihood Methods in Survival Analysis : With R Examples
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Likelihood Methods in Survival Analysis: With R Examples (Chapman & Hall/CRC Biostatistics Series)
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Likelihood Methods in Survival Analysis (Chapman & Hall/CRC Biostatistics Series)
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Likelihood Methods in Survival Analysis (Hardcover)
Published by
Taylor & Francis Inc, Philadelphia, 2024
ISBN 10: 0815362846
ISBN 13: 9780815362845
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Hardcover
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Hardcover. Condition: new. Hardcover. Many conventional survival analysis methods, such as the Kaplan-Meier method for survival function estimation and the partial likelihood method for Cox model regression coefficients estimation, were developed under the assumption that survival times are subject to right censoring only. However, in practice, survival time observations may include interval-censored data, especially when the exact time of the event of interest cannot be observed. When interval-censored observations are present in a survival dataset, one generally needs to consider likelihood-based methods for inference. If the survival model under consideration is fully parametric, then likelihood-based methods impose neither theoretical nor computational challenges. However, if the model is semi-parametric, there will be difficulties in both theoretical and computational aspects.Likelihood Methods in Survival Analysis: With R Examples explores these challenges and provides practical solutions. It not only covers conventional Cox models where survival times are subject to interval censoring, but also extends to more complicated models, such as stratified Cox models, extended Cox models where time-varying covariates are present, mixture cure Cox models, and Cox models with dependent right censoring. The book also discusses non-Cox models, particularly the additive hazards model and parametric log-linear models for bivariate survival times where there is dependence among competing outcomes.FeaturesProvides a broad and accessible overview of likelihood methods in survival analysisCovers a wide range of data types and models, from the semi-parametric Cox model with interval censoring through to parametric survival models for competing risksIncludes many examples using real data to illustrate the methodsIncludes integrated R code for implementation of the methodsSupplemented by a GitHub repository with datasets and R codeThe book will make an ideal reference for researchers and graduate students of biostatistics, statistics, and data science, whose interest in survival analysis extend beyond applications. It offers useful and solid training to those who wish to enhance their knowledge in the methodology and computational aspects of biostatistics. Provides an overview of the methodology and applications of likelihood methods in survival analysis. It covers all the important topics, including competing risks and joint models. It includes lots of examples to illustrate the methods, and R code for their implementation. A supplementary R package includes all code and data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780815362845
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Likelihood Methods in Survival Analysis (Chapman & Hall/CRC Biostatistics Series)
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Likelihood Methods in Survival Analysis: With R Examples
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Likelihood Methods in Survival Analysis
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L1-9780815362845
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Likelihood Methods in Survival Analysis : With R Examples
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Likelihood Methods in Survival Analysis: With R Examples
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Hardcover. Condition: Brand New. 404 pages. 9.18x6.12x9.21 inches. In Stock. This item is printed on demand. Seller Inventory # __0815362846
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Likelihood Methods in Survival Analysis: With R Examples (Chapman & Hall/CRC Biostatistics Series)
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