Survey statistician最新文献

筛选
英文 中文
Multiple Imputation of Missing Complex Survey Data using SAS®: A Brief Overview and An Example Based on the Research and Development Survey (RANDS). 利用SAS®进行复杂调查数据缺失的多重补全:综述与以研发调查(rand)为例
Survey statistician Pub Date : 2023-01-01
Yulei He, Guangyu Zhang
{"title":"Multiple Imputation of Missing Complex Survey Data using SAS<sup>®</sup>: A Brief Overview and An Example Based on the Research and Development Survey (RANDS).","authors":"Yulei He,&nbsp;Guangyu Zhang","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Multiple imputation (MI) is a widely used analytic approach to address missing data problems. SAS<sup>®</sup> (SAS Institute Inc, Cary, N.C.) has established MI procedures including PROC MI and PROC MIANALYZE. We illustrate the use of these procedures for conducting MI analysis of complex survey data by an example from RANDS. Section 1 contains the introduction. Section 2 includes some necessary methodological background. Section 3 shows a MI example with an arbitrary missing data pattern. Section 4 concludes the paper with a discussion.</p>","PeriodicalId":74894,"journal":{"name":"Survey statistician","volume":"87 ","pages":"37-47"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422982/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10060507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信