MIDAS: A SAS Macro for Multiple Imputation Using Distance-Aided Selection of Donors
In this paper we describe MIDAS: a SAS macro for multiple imputation using distance aided selection of donors which implements an iterative predictive mean matching hot-deck for imputing missing data. This is a flexible multiple imputation approach that can handle data in a variety of formats: conti...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Foundation for Open Access Statistics
2009-01-01
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| Series: | Journal of Statistical Software |
| Online Access: | http://www.jstatsoft.org/v29/i09/paper |
| _version_ | 1818118788915134464 |
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| author | Juned Siddique Ofer Harel |
| author_facet | Juned Siddique Ofer Harel |
| author_sort | Juned Siddique |
| collection | DOAJ |
| description | In this paper we describe MIDAS: a SAS macro for multiple imputation using distance aided selection of donors which implements an iterative predictive mean matching hot-deck for imputing missing data. This is a flexible multiple imputation approach that can handle data in a variety of formats: continuous, ordinal, and scaled. Because the imputation models are implicit, it is not necessary to specify a parametric distribution for each variable to be imputed. MIDAS also allows the user to address the sensitivity of their inferences to different assumptions concerning the missing data mechanism. An example using MIDAS to impute missing data is presented and MIDAS is compared to existing missing data software. |
| first_indexed | 2024-12-11T04:59:53Z |
| format | Article |
| id | doaj.art-ffc9b9a6ab2b46b0a55e4881454b5877 |
| institution | Directory Open Access Journal |
| issn | 1548-7660 |
| language | English |
| last_indexed | 2024-12-11T04:59:53Z |
| publishDate | 2009-01-01 |
| publisher | Foundation for Open Access Statistics |
| record_format | Article |
| series | Journal of Statistical Software |
| spelling | doaj.art-ffc9b9a6ab2b46b0a55e4881454b58772022-12-22T01:20:11ZengFoundation for Open Access StatisticsJournal of Statistical Software1548-76602009-01-01299MIDAS: A SAS Macro for Multiple Imputation Using Distance-Aided Selection of DonorsJuned SiddiqueOfer HarelIn this paper we describe MIDAS: a SAS macro for multiple imputation using distance aided selection of donors which implements an iterative predictive mean matching hot-deck for imputing missing data. This is a flexible multiple imputation approach that can handle data in a variety of formats: continuous, ordinal, and scaled. Because the imputation models are implicit, it is not necessary to specify a parametric distribution for each variable to be imputed. MIDAS also allows the user to address the sensitivity of their inferences to different assumptions concerning the missing data mechanism. An example using MIDAS to impute missing data is presented and MIDAS is compared to existing missing data software.http://www.jstatsoft.org/v29/i09/paper |
| spellingShingle | Juned Siddique Ofer Harel MIDAS: A SAS Macro for Multiple Imputation Using Distance-Aided Selection of Donors Journal of Statistical Software |
| title | MIDAS: A SAS Macro for Multiple Imputation Using Distance-Aided Selection of Donors |
| title_full | MIDAS: A SAS Macro for Multiple Imputation Using Distance-Aided Selection of Donors |
| title_fullStr | MIDAS: A SAS Macro for Multiple Imputation Using Distance-Aided Selection of Donors |
| title_full_unstemmed | MIDAS: A SAS Macro for Multiple Imputation Using Distance-Aided Selection of Donors |
| title_short | MIDAS: A SAS Macro for Multiple Imputation Using Distance-Aided Selection of Donors |
| title_sort | midas a sas macro for multiple imputation using distance aided selection of donors |
| url | http://www.jstatsoft.org/v29/i09/paper |
| work_keys_str_mv | AT junedsiddique midasasasmacroformultipleimputationusingdistanceaidedselectionofdonors AT oferharel midasasasmacroformultipleimputationusingdistanceaidedselectionofdonors |