Analysis of data from a national micronutrient survey with a linear mixed model: estimates, predictions and lessons for future surveys.

ABSTRACT:

Background

Because micronutrient deficiencies affect public health, countries monitor population status by national-scale, multi-stage, micronutrient surveys (MNS). In design-based surveys, inclusion probabilities are specified for sample units and the corresponding sample weights allow design-unbiased estimates to be made of population parameters. Corrections may be possible on departures from the design; an alternative is to use linear mixed models (LMM), with an estimated covariance structure reflecting the sampling design, to obtain model-based estimates.

Design

The Ethiopia National Micronutrient Survey (2016) specified inclusion probabilities at enumeration area (EA) and household (HH) levels, and sample weights are provided. However, the design was not followed as it

SUBMITTER: Pswarayi HA 

PROVIDER: S-EPMC11526165 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature