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A Comparison of Three Popular Methods for Handling Missing Data: Complete-Case Analysis, Inverse Probability Weighting, and Multiple Imputation
Sociological Methods & Research ( IF 4.677 ) Pub Date : 2022-08-05 , DOI: 10.1177/00491241221113873
Roderick J. Little 1 , James R. Carpenter 2, 3 , Katherine J. Lee 4
Affiliation  

Missing data are a pervasive problem in data analysis. Three common methods for addressing the problem are (a) complete-case analysis, where only units that are complete on the variables in an anal...

中文翻译:

处理缺失数据的三种流行方法的比较:完整案例分析、逆概率加权和多重插补

缺失数据是数据分析中普遍存在的问题。解决该问题的三种常见方法是(a)完整案例分析,其中只有在分析中的变量是完整的单元......
更新日期:2022-08-05
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