Literature DB >> 29617621

Data Are Not Enough-Hurray For Causality!

Arnaud Chiolero1.   

Abstract

Year:  2018        PMID: 29617621      PMCID: PMC5888075          DOI: 10.2105/AJPH.2018.304379

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


× No keyword cloud information.
  6 in total

1.  Big data in epidemiology: too big to fail?

Authors:  Arnaud Chiolero
Journal:  Epidemiology       Date:  2013-11       Impact factor: 4.822

2.  An argument for a consequentialist epidemiology.

Authors:  Sandro Galea
Journal:  Am J Epidemiol       Date:  2013-09-10       Impact factor: 4.897

3.  Counterfactual and interventionist approach to cure risk factor epidemiology.

Authors:  Arnaud Chiolero
Journal:  Int J Epidemiol       Date:  2016-12-01       Impact factor: 7.196

Review 4.  Handling time varying confounding in observational research.

Authors:  Mohammad Ali Mansournia; Mahyar Etminan; Goodarz Danaei; Jay S Kaufman; Gary Collins
Journal:  BMJ       Date:  2017-10-16

5.  Statistics, Adjusted Statistics, and Maladjusted Statistics.

Authors:  Jay S Kaufman
Journal:  Am J Law Med       Date:  2017-05

Review 6.  Causal inference in public health.

Authors:  Thomas A Glass; Steven N Goodman; Miguel A Hernán; Jonathan M Samet
Journal:  Annu Rev Public Health       Date:  2013-01-07       Impact factor: 21.981

  6 in total
  2 in total

1.  The Correspondence Between Causal and Traditional Mediation Analysis: the Link Is the Mediator by Treatment Interaction.

Authors:  David P MacKinnon; Matthew J Valente; Oscar Gonzalez
Journal:  Prev Sci       Date:  2020-02

Review 2.  Review of Clinical Research Informatics.

Authors:  Anthony Solomonides
Journal:  Yearb Med Inform       Date:  2020-08-21
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.