Your browser doesn't support javascript.
loading
Spatio-temporal analysis of misaligned burden of disease data using a geo-statistical approach.
Parsaeian, Mahboubeh; Jafari Khaledi, Majid; Farzadfar, Farshad; Mahdavi, Mahdi; Zeraati, Hojjat; Mahmoudi, Mahmood; Khosravi, Ardeshir; Mohammad, Kazem.
Afiliação
  • Parsaeian M; Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
  • Jafari Khaledi M; Department of Statistics, Faculty of Mathematical Sciences, Tarbiat Modares University, Tehran, Iran.
  • Farzadfar F; Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
  • Mahdavi M; Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
  • Zeraati H; National Institute of Health Research (NIHR), Tehran University of Medical Sciences, Tehran, Iran.
  • Mahmoudi M; Erasmus School of Health Policy and Management (ESHPM), Erasmus University Rotterdam, Rotterdam, The Netherlands.
  • Khosravi A; Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
  • Mohammad K; Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Stat Med ; 40(4): 1021-1033, 2021 02 20.
Article em En | MEDLINE | ID: mdl-33283326
Assuntos
Palavras-chave
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Modelos Estatísticos / Efeitos Psicossociais da Doença Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Stat Med Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Irã
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Modelos Estatísticos / Efeitos Psicossociais da Doença Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Stat Med Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Irã