Multiple imputation and its application [electronic resource] / James R. Carpenter ... [et al.]
- 其他作者：
- 其他題名：
- Statistics in practice.
- 出版： Hoboken, NJ : John Wiley & Sons 2023.
- 叢書名： Statistics in practice
- 主題： Multiple imputation (Statistics) , Medicine--Research--Statistical methods. , Medical statistics. , Data Interpretation, Statistical. , Data Analysis. , Biomedical Research--methods.
- 版本：2nd ed.
- ISBN： 9781119756118 (electronic bk.) 、 1119756111 (electronic bk.) 、 9781119756101 (ePub) 、 1119756103 (ePub) 、 9781119756095 (Adobe PDF) 、 111975609X (Adobe PDF)
- URL：
電子書(校內)
電子書(校外)
- 一般註：Preceded by Multiple imputation and its application / James R. Carpenter and Michael G. Kenward. 2013. Includes bibliographical references and indexes. 113年度臺灣學術電子書暨資料庫聯盟採購
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讀者標籤：
- 系統號： 000314568 | 機讀編目格式
館藏資訊
摘要註
"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."--