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Let's Require the “T-Word”

Datos 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.)
Año2018
Volumen108
Número5
Páginas624-624
Fecha de publicación2018-05-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaAmerican Journal of Public Health (JOURNAL)
Identificadores de la revistaISSN: 0090-0036 • E-ISSN: 1541-0048
EditorialAmerican Public Health Association (PUBLISHER • US)
DOI10.2105/ajph.2018.304365
PMID29617601
OpenAlexW2795632122
IdiomaEN
Citas recibidas1
Referencias 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
Citas por año0,17
Intervalo de citas2020 - 2020 (1)
Velocidad de citaciónhistorical
Altamente citadoNo
Tipos de citaNeutras: 1
Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae