Multiple imputation and its application[electronic resource]

  • 其他作者: Carpenter, James R.
  • 出版: Hoboken, NJ : John Wiley & Sons 2023.
  • 版本: 2nd ed.
  • 稽核項: 1 online resource (xx, 440 p.) :ill. (some col.).
  • 叢書名: Statistics in practice
  • 標題: methods. , Data Analysis. , ResearchStatistical methods. , Multiple imputation (Statistics) , Medicine Research -- Statistical methods. , Biomedical Research methods. , Medical statistics. , Medicine , Biomedical Research , Data Interpretation, Statistical.
  • ISBN: 111975609X , 9781119756095
  • ISBN: 9781119756088
  • 試查全文@TNUA:
  • 附註: Preceded by Multiple imputation and its application / James R. Carpenter and Michael G. Kenward. 2013. Includes bibliographical references and indexes.
  • 摘要: "Multiple imputation remains the most widely used methodology for missing data. Since the publication of the first edition, both MI methodology and the range of applications has continued to expand and develop. Methodological advances include extended MI methodologies for multilevel data and causal models, alongside important practical developments in sensitivity analysis. Key practical applications are clinical trials, prognostic modelling and causal modelling. Following on from the first edition, the authors here present the concepts in an intuitive way, setting out the issues raised by missing data, describing the rationale for MI, and show how it can be applied in increasingly complex settings with a range of examples. Also available for the first time are theoretical and computer-based exercises using Stata and R to help the instructor. Multiple Imputation and its Application, Second Edition is aimed at quantitative medical and social researchers by presenting the concepts in an intuitive way, illustrating with a range of examples. Alongside this, inclusion of key mathematical details, and theoretical and computer-based exercises will make the text suitable for graduate teaching and short courses."--
  • 電子資源: https://dbs.tnua.edu.tw/login?url=https://onlinelibrary.wiley.com/doi/book/10.1002/9781119756118
  • 系統號: 005338836
  • 資料類型: 電子書
  • 讀者標籤: 需登入
  • 引用網址: 複製連結