Multiple Imputation of Missing Data Using SAS
Patricia Berglund, Steven G. Heeringa
- 出版商: SAS Institute
- 出版日期: 2014-07-01
- 售價: $1,840
- 貴賓價: 9.5 折 $1,748
- 語言: 英文
- 頁數: 164
- 裝訂: Paperback
- ISBN: 1612904521
- ISBN-13: 9781612904528
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相關主題
商品描述
Find guidance on using SAS for multiple imputation and solving common missing data issues.
Multiple Imputation of Missing Data Using SAS provides both theoretical background and constructive solutions for those working with incomplete data sets in an engaging example-driven format. It offers practical instruction on the use of SAS for multiple imputation and provides numerous examples that use a variety of public release data sets with applications to survey data.
Written for users with an intermediate background in SAS programming and statistics, this book is an excellent resource for anyone seeking guidance on multiple imputation. The authors cover the MI and MIANALYZE procedures in detail, along with other procedures used for analysis of complete data sets. They guide analysts through the multiple imputation process, including evaluation of missing data patterns, choice of an imputation method, execution of the process, and interpretation of results.
Topics discussed include how to deal with missing data problems in a statistically appropriate manner, how to intelligently select an imputation method, how to incorporate the uncertainty introduced by the imputation process, and how to incorporate the complex sample design (if appropriate) through use of the SAS SURVEY procedures.
Discover the theoretical background and see extensive applications of the multiple imputation process in action.
This book is part of the SAS Press program.
Multiple Imputation of Missing Data Using SAS provides both theoretical background and constructive solutions for those working with incomplete data sets in an engaging example-driven format. It offers practical instruction on the use of SAS for multiple imputation and provides numerous examples that use a variety of public release data sets with applications to survey data.
Written for users with an intermediate background in SAS programming and statistics, this book is an excellent resource for anyone seeking guidance on multiple imputation. The authors cover the MI and MIANALYZE procedures in detail, along with other procedures used for analysis of complete data sets. They guide analysts through the multiple imputation process, including evaluation of missing data patterns, choice of an imputation method, execution of the process, and interpretation of results.
Topics discussed include how to deal with missing data problems in a statistically appropriate manner, how to intelligently select an imputation method, how to incorporate the uncertainty introduced by the imputation process, and how to incorporate the complex sample design (if appropriate) through use of the SAS SURVEY procedures.
Discover the theoretical background and see extensive applications of the multiple imputation process in action.
This book is part of the SAS Press program.
商品描述(中文翻譯)
尋找使用 SAS 進行多重插補及解決常見缺失資料問題的指導。
《使用 SAS 進行缺失資料的多重插補》提供了理論背景和建設性解決方案，適合那些處理不完整資料集的讀者，並以引人入勝的範例驅動格式呈現。它提供了有關使用 SAS 進行多重插補的實用指導，並提供了多個使用各種公共釋出資料集的範例，應用於調查資料。
本書針對具有中級 SAS 程式設計和統計背景的使用者撰寫，是任何尋求多重插補指導的人的絕佳資源。作者詳細介紹了 MI 和 MIANALYZE 程序，以及用於完整資料集分析的其他程序。他們引導分析師了解多重插補過程，包括缺失資料模式的評估、插補方法的選擇、過程的執行和結果的解釋。
討論的主題包括如何以統計上適當的方式處理缺失資料問題、如何智能地選擇插補方法、如何納入插補過程所引入的不確定性，以及如何通過使用 SAS SURVEY 程序納入複雜的樣本設計（如適用）。
探索理論背景，並觀察多重插補過程的廣泛應用。
本書是 SAS Press 計畫的一部分。
