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Let's Require the “T-Word”

Dados Bibliográficos

ID11036765
AutoresHeidi E Jones (0000-0002-4285-3752, Heidi E. Jones is with the Department of Epidemiology and Biostatistics, City University of New York School of Public Health, New York, NY. C. Mary Schooling is with the Department of Environmental, Occupational and Geospatial Health Sciences, City University of New York School of Public Health.), C Mary Schooling (0000-0001-9933-5887, Heidi E. Jones is with the Department of Epidemiology and Biostatistics, City University of New York School of Public Health, New York, NY. C. Mary Schooling is with the Department of Environmental, Occupational and Geospatial Health Sciences, City University of New York School of Public Health.)
Ano2018
Volume108
Fascículo5
Páginas624-624
Data de publicação2018-05-01
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoAmerican Journal of Public Health (JOURNAL)
Identificadores do periódicoISSN: 0090-0036 • E-ISSN: 1541-0048
EditoraAmerican Public Health Association (PUBLISHER • US)
DOI10.2105/ajph.2018.304365
PMID29617601
OpenAlexW2795632122
IdiomaEN
Citações recebidas1
Referências citadas3

A response is provided to an article in the issue by author Miguel A. Hernan on disease causation and causality, including in regard to the theory of causal mechanism. It compares the use of statistical methods and observational studies in conducting research on disease causation

Association (psychology) · Causality (physics) · Causation · Disease · Epistemology · Linguistics · Mechanism (biology) · Observational study · Pathology · Physics · Word (group theory) · Advanced Causal Inference Techniques · Genetic Associations and Epidemiology · Medicine · Philosophy · Psychology

  • Decomposing the educational gradient in allostatic load across European populations. What matters the most

    Giovanni Veronesi, Frank Kee et al.•Journal of Epidemiology and…•2020

  • Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies

    Open Access•Peter C Austin, Elizabeth A Stuart•Statistics in Medicine•2015

Obras citantes distintas1
Citações por ano0,17
Intervalo de citações2020 - 2020 (1)
Velocidade de citaçãohistorical
Altamente citadoNão
Tipos de citaçãoNeutras: 1
Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae