Module 15. Data processing and analysis
Because this micronutrient survey manual focuses on the standard micronutrient survey design (a multi-stage cluster survey with or without stratification), this module focuses on processing and analysing data from surveys with this design. In specific situations, such as a survey in a refugee camp, where the simple random sampling (SRS) method is selected, analysis should be conducted using SRS-specific procedures. This usually means that there is no need to apply survey weights or a stratum or cluster variable when running frequency tables and generating mean estimates.
Analyses of micronutrient survey data should be conducted using software that accounts for multi-stage complex survey design with stratification. Such software includes Epi Info , SAS version 8.0 or later, SPSS with the optional SPSS Complex Samples module, Stata, Sudaan, and R.
Graph template that can be used to plot anthropometric indices against a reference populationDownload
The Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) inflammation adjustment method uses regression correction to adjust for the confounding effects of inflammation on select micronutrient biomarkers. This paper serves as a practical guidebook for the BRINDA inflammation adjustment approach and aids users to use the BRINDA R package and SAS to streamline their analyses.Download
IZiNCG TECHNICAL BRIEF No. 12 2020Download
The BRINDA R package is a user-friendly all-in-one R package that uses a series of functions to implement BRINDA adjustment method.
Details and R package are located here: https://cran.r-project.org/web/packages/BRINDA/index.htmlDownload