![]() The tool is based on R, with Shiny package. standard errors and confidence intervals). Improvements affect only measures of accuracy around estimates (i.e. The methodology was updated considering the complex sample design of most of the recent surveys, compared to the methodology used in Anthro software (below). ![]() It offers analysis for four indicators: length/height-for-age, weight-for-age, weight-for-length, weight-for-height and body mass index-for-age. The WHO Anthro Survey Analyser aims to promote best practices on data collection, analyses and reporting of anthropometric indicators. To facilitate re-running of nutritional survey data based on standardized approach, WHO has developed an online tool to analyse child anthropometric data.
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