Format

Send to

Choose Destination
Nat Hum Behav. 2018 Dec;2(12):891-898. doi: 10.1038/s41562-018-0466-5. Epub 2018 Nov 26.

Quasi-experimental causality in neuroscience and behavioural research.

Author information

1
Department of Social Policy and Practice, University of Pennsylvania, Philadelphia, PA, USA. ioma@upenn.edu.
2
Division of Neurology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
3
Departments of Neuroscience and Bioengineering, Leonard Davis Institute, Warren Center for Network Science, Wharton Neuroscience Initiative, University of Pennsylvania, Philadelphia, PA, USA.
4
Canadian Institute For Advanced Research, Toronto, Ontario, Canada.

Abstract

In many scientific domains, causality is the key question. For example, in neuroscience, we might ask whether a medication affects perception, cognition or action. Randomized controlled trials are the gold standard to establish causality, but they are not always practical. The field of empirical economics has developed rigorous methods to establish causality even when randomized controlled trials are not available. Here we review these quasi-experimental methods and highlight how neuroscience and behavioural researchers can use them to do research that can credibly demonstrate causal effects.

PMID:
30988445
DOI:
10.1038/s41562-018-0466-5
[Indexed for MEDLINE]

Supplemental Content

Loading ...
Support Center