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Quality of anthropometric data in India's National Family Health Survey: Disentangling interviewer and area effect using a cross-classified multilevel model.
Dwivedi, Laxmi Kant; Banerjee, Kajori; Sharma, Radhika; Mishra, Rakesh; Ramesh, Sowmya; Sahu, Damodar; Mohanty, Sanjay K; James, K S.
Afiliación
  • Dwivedi LK; Department of Survey Research & Data Analytics, International Institute for Population Sciences, Mumbai, India.
  • Banerjee K; SVKM's Narsee Monjee Institute of Management Studies (NMIMS), Mumbai, India.
  • Sharma R; International Institute for Population Sciences, Mumbai, India.
  • Mishra R; UNICEF, New Delhi, India.
  • Ramesh S; Population Council, New Delhi, India.
  • Sahu D; National Institute of Medical Statistics, Indian Council of Medical Research, New Delhi, India.
  • Mohanty SK; Department of Population & Development, International Institute for Population Sciences, Mumbai, India.
  • James KS; International Institute for Population Sciences, Mumbai, India.
SSM Popul Health ; 19: 101253, 2022 Sep.
Article en En | MEDLINE | ID: mdl-36268139
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Qualitative_research Idioma: En Revista: SSM Popul Health Año: 2022 Tipo del documento: Article País de afiliación: India Pais de publicación: Reino Unido
Texto completo
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Imprimir
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Qualitative_research Idioma: En Revista: SSM Popul Health Año: 2022 Tipo del documento: Article País de afiliación: India Pais de publicación: Reino Unido