Inverse-probability weighting and multiple imputation for evaluating selection bias in the estimation of childhood obesity prevalence using data from electronic health records

Inverse-probability weighting and multiple imputation for evaluating selection bias in the estimation of childhood obesity prevalence using data from electronic health records

Background and objectives: Height and weight data from electronic health records are increasingly being used to estimate the prevalence of childhood obesity. Here, we aim to assess the selection bias due to missing weight and height data from electronic health records in children older than five....

Detaylı Bibliyografya
Asıl Yazarlar:	Sayon-Orea, C. (Carmen), Moreno-Iribas, C. (Conchi), Delfrade, J. (Josu), Sanchez-Echenique, M. (Manuela), Amiano, P. (Pilar), Ardanaz, E. (Eva), Gorricho, J. (Javier), Basterra, G. (Garbiñe), Nuin, M. (Marian), Guevara, M. (Marcela)
Materyal Türü:	info:eu-repo/semantics/article
Dil:	eng
Baskı/Yayın Bilgisi:	2023
Konular:	Inverse-probability weighting Multiple imputation Childhood obesity Weight status Prevalence Electronic health records
Online Erişim:	https://hdl.handle.net/10171/66697

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