![]() ![]() 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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