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Journal of Pediatric and Neonatal Sciences

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Improving Health Policy Decisions through Measurement Error-Corrected Prevalence Estimates: A Simulation Study Based on Longitudinal DHS-Like Data on Child Malnutrition
Research Article - Volume: 2, Issue: 1, 2026 (June)
Improving Health Policy Decisions through Measurement Error-Corrected Prevalence Estimates: A Simulation Study Based on Longitudinal DHS-Like Data on Child Malnutrition Download PDF
*Correspondence to: , Department of Mathematics, Pan African University Institute for Basic Sciences, Technology, and Innovation, Nairobi, Kenya, E-Mail:
Received: April 23, 2026; Manuscript No: ; Editor Assigned: April 27, 2026; PreQc No: (PQ); Reviewed: May 08, 2026; Revised: May 11, 2026; Manuscript No: (R); Published: June 02, 2026

Citation: Ngbogbele RDB, Samue AA, Dehigbe B (2026). Improving Health Policy Decisions through Measurement Error-Corrected Prevalence Estimates: A Simulation Study Based on Longitudinal DHS-Like Data on Child Malnutrition. J. Pediatr. Neonatal Sci.. Vol.2 Iss.1, June (2026), pp:43-53.
Copyright: © 2026 . This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.