Re: Causality and causal inference in epidemiology: the need for a pluralistic approach.

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

Who cites it

10 citing papers in PubMed.

1. Appraising clinical applicability of studies: mapping and synthesis of current frameworks, and proposal of the FrACAS framework and VICORT checklist.BMC medical research methodology · 2021
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2. A Bayesian approach to comparing common models of life-course epidemiology.International journal of epidemiology · 2021
   Article
3. Is the Smog Lifting?: Causal Inference in Environmental Epidemiology.Epidemiology (Cambridge, Mass.) · 2019
   Article
4. On Well-defined Hypothetical Interventions in the Potential Outcomes Framework.Epidemiology (Cambridge, Mass.) · 2018
   Article
5. Clinical epidemiology: A daydream?European journal of epidemiology · 2017
   Article
6. For and Against Methodologies: Some Perspectives on Recent Causal and Statistical Inference Debates.European journal of epidemiology · 2017
   Article
7. Commentary: On Causes, Causal Inference, and Potential Outcomes.International journal of epidemiology · 2016
   Article
8. Authors' Reply to: VanderWeele et al., Chiolero, and Schooling et al.International journal of epidemiology · 2016
   Article
9. Response: Formalism or pluralism? A reply to commentaries on 'Causality and causal inference in epidemiology'.International journal of epidemiology · 2016
   Article
10. Author's reply: The role of potential outcomes thinking in assessing mediation and interaction.International journal of epidemiology · 2016
    Article

Corrections and comments

• Commented on by
  Authors' Reply to: VanderWeele et al., Chiolero, and Schooling et al.2016
• Comment on
  Causality and causal inference in epidemiology: the need for a pluralistic approach.2016

Authors and funding

4 authors.

Funding

No grant is acknowledged in the PubMed record.

Abstract

PubMed holds no abstract for this paper.