Heckman-type selection models to obtain unbiased estimates with missing measures outcome: theoretical considerations and an application to missing birth weight data

BACKGROUND: In low-income settings, key outcomes such as biomarkers or clinical assessments are often missing for a substantial proportion of the study population. The aim of this study was to assess the extent to which Heckman-type selection models can create unbiased estimates in such settings. ME...

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Detalles Bibliográficos
Autores principales: Koné, Siaka, Bonfoh, Bassirou, Dao, Daouda, Koné, Inza, Fink, Günther
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Technical Advance
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6902545/
https://www.ncbi.nlm.nih.gov/pubmed/31815610
http://dx.doi.org/10.1186/s12874-019-0840-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6902545/
https://www.ncbi.nlm.nih.gov/pubmed/31815610
http://dx.doi.org/10.1186/s12874-019-0840-7

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