Investigation of the Multiple Imputation Method in Different Missing Ratios and Sample Sizes
In many studies, missing data are thereal trouble to researchers. Because the statistical methods are designed forcomplete data sets. Multiple imputation method is developed to solve themissing data problem. The method is also used effectively in some usefulproperties of the Bayes method. If there a...
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| Format: | Article |
| Language: | English |
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Sakarya University
2019-08-01
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| Series: | Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi |
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| Online Access: | https://dergipark.org.tr/tr/download/article-file/649092 |
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| author | Nesrin Alkan B. Baris Alkan |
| author_facet | Nesrin Alkan B. Baris Alkan |
| author_sort | Nesrin Alkan |
| collection | DOAJ |
| description | In many studies, missing data are thereal trouble to researchers. Because the statistical methods are designed forcomplete data sets. Multiple imputation method is developed to solve themissing data problem. The method is also used effectively in some usefulproperties of the Bayes method. If there are missing values in the data set,Bayesian method can be used to prevent the loss of information. In this study,the performance of the multiple imputation method is evaluated by generatingsurvival data with different missing rates and different sample sizes. Also,informative priors and multiple imputation method are used together to preventthe missing information in the variable with missing value. |
| format | Article |
| id | doaj-art-b4a9552c1a1345d6a232a69eb54869b0 |
| institution | Kabale University |
| issn | 2147-835X |
| language | English |
| publishDate | 2019-08-01 |
| publisher | Sakarya University |
| record_format | Article |
| series | Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi |
| spelling | doaj-art-b4a9552c1a1345d6a232a69eb54869b02024-12-23T08:03:51ZengSakarya UniversitySakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi2147-835X2019-08-0123460560910.16984/saufenbilder.50745028Investigation of the Multiple Imputation Method in Different Missing Ratios and Sample SizesNesrin Alkan0https://orcid.org/0000-0003-1452-4780B. Baris Alkan1https://orcid.org/0000-0002-5851-7833Sinop UniversityAKDENIZ UNIVERSITYIn many studies, missing data are thereal trouble to researchers. Because the statistical methods are designed forcomplete data sets. Multiple imputation method is developed to solve themissing data problem. The method is also used effectively in some usefulproperties of the Bayes method. If there are missing values in the data set,Bayesian method can be used to prevent the loss of information. In this study,the performance of the multiple imputation method is evaluated by generatingsurvival data with different missing rates and different sample sizes. Also,informative priors and multiple imputation method are used together to preventthe missing information in the variable with missing value.https://dergipark.org.tr/tr/download/article-file/649092missing valuemultiple imputationbayesian cox regression |
| spellingShingle | Nesrin Alkan B. Baris Alkan Investigation of the Multiple Imputation Method in Different Missing Ratios and Sample Sizes Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi missing value multiple imputation bayesian cox regression |
| title | Investigation of the Multiple Imputation Method in Different Missing Ratios and Sample Sizes |
| title_full | Investigation of the Multiple Imputation Method in Different Missing Ratios and Sample Sizes |
| title_fullStr | Investigation of the Multiple Imputation Method in Different Missing Ratios and Sample Sizes |
| title_full_unstemmed | Investigation of the Multiple Imputation Method in Different Missing Ratios and Sample Sizes |
| title_short | Investigation of the Multiple Imputation Method in Different Missing Ratios and Sample Sizes |
| title_sort | investigation of the multiple imputation method in different missing ratios and sample sizes |
| topic | missing value multiple imputation bayesian cox regression |
| url | https://dergipark.org.tr/tr/download/article-file/649092 |
| work_keys_str_mv | AT nesrinalkan investigationofthemultipleimputationmethodindifferentmissingratiosandsamplesizes AT bbarisalkan investigationofthemultipleimputationmethodindifferentmissingratiosandsamplesizes |