[Statlist] Séminaire de Statistique, Université de Neuchâtel

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S�minaire de Statistique 
Institut de Statistique, Universit� de Neuch�tel 

Pierre � Mazel 7 (1er �tage,salle 110), Neuch�tel,

http://www2.unine.ch/statistics

Mardi 8 mai 2007, 11h00

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Pedro Luis Nascimento Silva, Southampton Statistical Sciences Research Institute, University of Southampton 

Title: Imputation for missing and outlying anthropometric data used for nutritional status assessment in a Brazilian household sample survey 

Joint work with Andre Martins Costa (IBGE) and Mauricio Teixeira Leite de Vasconcellos (IBGE)

Anthropometric data such as standing height (recumbent length for babies) and body mass (weight) are frequently utilized to estimate the prevalence of certain undesirable nutritional states, such as malnutrition and obesity, in populations of regions or countries, and to examine the association of occurrence of such states with known or potential risk factors. Obtaining these anthropometric measurements in large scale household sample surveys is subject to a number of difficulties which lead to missing or suspicious data being recorded. The approach used to edit and impute the anthropometric data from the Household Budget Survey taken in Brazil in 2002/2003, based on modelling the bivariate data for height and weight given age and sex, is described. This application showed that the approach has a number of limitations, leading to ongoing research aiming to overcome the perceived shortcomings. 

 


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