A Systematic Literature Review On Missing Values: Research Trends, Datasets, Methods and Frameworks

Author:

Setiawan Ismail,Gernowo Rahmat,Warsito Budi

Abstract

Handling of missing values in data analysis is the focus of attention in various research fields. Imputation is one method that is commonly used to overcome this problem of missing data. This systematic literature review research aims to present a comprehensive summary of the relevant scientific literature that describes the use of the imputation method in overcoming missing values. The literature search method is carried out using various academic databases and reliable sources of information. Relevant keywords are used to find articles that match the research question. After selection and evaluation, 40 relevant articles were included in this study. The findings of this study reveal a variety of imputation approaches and methods used in various research fields, such as social sciences, medicine, economics, and others. Commonly used imputation methods include single imputation, multivariate imputation, and model-based imputation methods. In addition, several studies also describe a combination of imputation methods to deal with more complex situations. The advantage of the imputation method is that it allows researchers to maintain sample sizes and minimize bias in data analysis. However, the research results also show that the imputation method must be applied with caution, because inappropriate imputation decisions can lead to biased results and can affect the accuracy of the research conclusions. In order to increase the validity and reliability of research results, researchers are expected to transparently report the imputation method used and describe the considerations made in the imputation decision-making process. This systematic review of the literature review provides an in-depth view of the use of the imputation method in handling missing values. In the face of the challenge of missing data, an understanding of the various imputation methods and the context in which they are applied will be key to generating meaningful findings in various research fields.

Publisher

EDP Sciences

Subject

General Medicine

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3