Likelihood Methods in Survival Analysis

¥29,690
+ 配送料¥2,049

Likelihood Methods in Survival Analysis

  • ブランド: Unbranded
販売元:

Likelihood Methods in Survival Analysis

  • ブランド: Unbranded

¥29,690

在庫あり
+ 配送料¥2,049

14日間返品ポリシー

販売元:

¥29,690

在庫あり
+ 配送料¥2,049

14日間返品ポリシー

支払い方法:

説明

Likelihood Methods in Survival Analysis

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. Features Provides a broad and accessible overview of likelihood methods in survival analysis Covers a wide range of data types and models from the semi-parametric Cox model with interval censoring through to parametric survival models for competing risks Includes many examples using real data to illustrate the methods Includes integrated R code for implementation of the methods Supplemented by a GitHub repository with datasets and R code The 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. . Language: English
  • ブランド: Unbranded
  • カテゴリー: 参考図書
  • フォーマット: Hardback
  • 刊行日: 2024/10/01
  • アーティスト: Jun Ma
  • ページ数: 404
  • 言語: English
  • 出版社 / レコード会社: CRC Press
  • Fruugo ID: 341434743-748643488
  • ISBN: 9780815362845

配達

4日間以内に発送

  • STANDARD: ¥2,049 - 間の配達 水 17 6月 2026–月 22 6月 2026

イギリスより発送。

返品

ご注文の商品は、お客様の仕様に従い、万全の状態で配送されるように最善を尽くしています。しかし、もし注文に抜けがあったり、注文したものと違う商品が届いたり、注文に満足できないその他の理由がある場合は、注文全体やその中のいずれかの商品を返品し、その全額の返金を受けることができます。

全額返金ポリシーを見る