Comparison Method for Handling Missing Data in Clinical Studies
Author:
Affiliation:
1. Bandung Institute of Technology, Ged. Achmad Bakrie, Bandung
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3384544.3384594
Reference42 articles.
1. Missing Data
2. Nearest neighbor imputation algorithms: a critical evaluation
3. Stef van Buuren. 2012. Flexible Imputation of Missing Data. CRC Press Taylor & Francis Group Boca Raton Florida. DOI= https://doi.org/10.1201/b11826 Stef van Buuren. 2012. Flexible Imputation of Missing Data. CRC Press Taylor & Francis Group Boca Raton Florida. DOI= https://doi.org/10.1201/b11826
4. Ray Chambers. 2001. Evaluation Criteria for Statistical Editing and Imputation. Department of Social Statistics University of Southampton. Ray Chambers. 2001. Evaluation Criteria for Statistical Editing and Imputation. Department of Social Statistics University of Southampton.
5. Jehanzeb R Cheema. 2014. A Review of Missing Data Handling Methods in Education Research. Rev. Educ. Res. (2014). DOI= https://doi.org/10.3102/0034654314532697 Jehanzeb R Cheema. 2014. A Review of Missing Data Handling Methods in Education Research. Rev. Educ. Res. (2014). DOI= https://doi.org/10.3102/0034654314532697
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