mics-library: a Python package for reproducible studies on the multiple indicator cluster survey
Psycho-sociological research has historically shown a lack of representation towards Low- and Middle Income Countries (LMIC), yet the issues faced by these countries, especially in the domains of child development and public health, are much more severe and prevalent. To close this research gap, the...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/164385 |
| _version_ | 1826119962363691008 |
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| author | Bizzego, Andrea Lim, Mengyu Esposito, Gianluca |
| author2 | School of Social Sciences |
| author_facet | School of Social Sciences Bizzego, Andrea Lim, Mengyu Esposito, Gianluca |
| author_sort | Bizzego, Andrea |
| collection | NTU |
| description | Psycho-sociological research has historically shown a lack of representation towards Low- and Middle Income Countries (LMIC), yet the issues faced by these countries, especially in the domains of child development and public health, are much more severe and prevalent. To close this research gap, the Multiple Indicator Cluster Survey (MICS) is an appropriate and comprehensive large dataset that captures information on LMIC health and human development. We therefore introduce mics_library, a tool designed to help researchers using the MICS dataset by allowing data preview, organizing files and extracting relevant data. |
| first_indexed | 2024-10-01T05:08:26Z |
| format | Journal Article |
| id | ntu-10356/164385 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:08:26Z |
| publishDate | 2023 |
| record_format | dspace |
| spelling | ntu-10356/1643852023-03-05T15:32:40Z mics-library: a Python package for reproducible studies on the multiple indicator cluster survey Bizzego, Andrea Lim, Mengyu Esposito, Gianluca School of Social Sciences Lee Kong Chian School of Medicine (LKCMedicine) Social sciences::Psychology Child Development Multiple Indicator Cluster Survey Psycho-sociological research has historically shown a lack of representation towards Low- and Middle Income Countries (LMIC), yet the issues faced by these countries, especially in the domains of child development and public health, are much more severe and prevalent. To close this research gap, the Multiple Indicator Cluster Survey (MICS) is an appropriate and comprehensive large dataset that captures information on LMIC health and human development. We therefore introduce mics_library, a tool designed to help researchers using the MICS dataset by allowing data preview, organizing files and extracting relevant data. Nanyang Technological University Published version G.E. was supported by grants from the NAP SUG, Singapore (M4081597, 2015–2021). A.B. was supported by a Post-doctoral Fellowship within the programme framework "Dipartimenti di Eccellenza", Ministry of University, Italy. 2023-01-18T06:56:10Z 2023-01-18T06:56:10Z 2021 Journal Article Bizzego, A., Lim, M. & Esposito, G. (2021). mics-library: a Python package for reproducible studies on the multiple indicator cluster survey. SoftwareX, 16, 100828-. https://dx.doi.org/10.1016/j.softx.2021.100828 2352-7110 https://hdl.handle.net/10356/164385 10.1016/j.softx.2021.100828 2-s2.0-85122672758 16 100828 en M4081597, 2015–2021 SoftwareX © 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). application/pdf |
| spellingShingle | Social sciences::Psychology Child Development Multiple Indicator Cluster Survey Bizzego, Andrea Lim, Mengyu Esposito, Gianluca mics-library: a Python package for reproducible studies on the multiple indicator cluster survey |
| title | mics-library: a Python package for reproducible studies on the multiple indicator cluster survey |
| title_full | mics-library: a Python package for reproducible studies on the multiple indicator cluster survey |
| title_fullStr | mics-library: a Python package for reproducible studies on the multiple indicator cluster survey |
| title_full_unstemmed | mics-library: a Python package for reproducible studies on the multiple indicator cluster survey |
| title_short | mics-library: a Python package for reproducible studies on the multiple indicator cluster survey |
| title_sort | mics library a python package for reproducible studies on the multiple indicator cluster survey |
| topic | Social sciences::Psychology Child Development Multiple Indicator Cluster Survey |
| url | https://hdl.handle.net/10356/164385 |
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