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Title: mics-library: a Python package for reproducible studies on the multiple indicator cluster survey
Authors: Bizzego, Andrea
Lim, Mengyu
Esposito, Gianluca
Keywords: Social sciences::Psychology
Issue Date: 2021
Source: Bizzego, A., Lim, M. & Esposito, G. (2021). mics-library: a Python package for reproducible studies on the multiple indicator cluster survey. SoftwareX, 16, 100828-.
Project: M4081597, 2015–2021 
Journal: SoftwareX 
Abstract: 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.
ISSN: 2352-7110
DOI: 10.1016/j.softx.2021.100828
Schools: School of Social Sciences 
Lee Kong Chian School of Medicine (LKCMedicine) 
Rights: © 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:LKCMedicine Journal Articles
SSS Journal Articles

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