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Inferential Pluralism in Causal Reasoning from Randomized Experiments.
1Universite du Québec a Trois-Rivières, Trois-Rivières, Canada. tbaetu@hotmail.com.
Acta Biotheoretica
|August 13, 2022
Summary
Causal pluralism extends to inferring causation from evidence. Randomized controlled trials (RCTs) demonstrate multiple reasoning paths support causal interpretation, even with statistical associations.
Area of Science:
- Philosophy of Science
- Causal Inference
- Research Methodology
Background:
- Causal pluralism, the idea that multiple distinct causal concepts and methods exist, is explored.
- The debate often focuses on concepts and guidelines, but extends to evidence-based causal inference.
Purpose of the Study:
- To defend causal pluralism at the level of inferring causation from specific evidence.
- To analyze causal inference from randomized controlled trials (RCTs) as a case study.
Main Methods:
- Analysis of causal inference derived from randomized controlled trials (RCTs).
- Examination of the reasoning paths used to establish causal interpretation of statistically significant associations.
Main Results:
- Statistically significant associations in RCTs can be causally interpreted through various reasoning pathways.
- Each pathway relies on distinct assumptions and offers unique evidence supporting a causal claim.
Conclusions:
- Causal pluralism is supported at the level of evidence-based causal inference.
- Randomized controlled trials (RCTs) exemplify how multiple, distinct lines of reasoning can establish causation.
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