Causal inference in perioperative medicine observational research: part 1, a graphical introduction.
Publication
, Journal Article
Krishnamoorthy, V; Wong, DJN; Wilson, M; Raghunathan, K; Ohnuma, T; McLean, D; Moonesinghe, SR; Harris, SK
Published in: Br J Anaesth
September 2020
Graphical models have emerged as a tool to map out the interplay between multiple measured and unmeasured variables, and can help strengthen the case for a causal association between exposures and outcomes in observational studies. In Part 1 of this methods series, we will introduce the reader to graphical models for causal inference in perioperative medicine, and set the framework for Part 2 of the series involving advanced methods for causal inference.
Duke Scholars
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Published In
Br J Anaesth
DOI
EISSN
1471-6771
Publication Date
September 2020
Volume
125
Issue
3
Start / End Page
393 / 397
Location
England
Related Subject Headings
- Perioperative Medicine
- Observational Studies as Topic
- Models, Statistical
- Humans
- Biomedical Research
- Anesthesiology
- 3202 Clinical sciences
- 1103 Clinical Sciences
Citation
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Chicago
ICMJE
MLA
NLM
Krishnamoorthy, V., Wong, D. J. N., Wilson, M., Raghunathan, K., Ohnuma, T., McLean, D., … Harris, S. K. (2020). Causal inference in perioperative medicine observational research: part 1, a graphical introduction. Br J Anaesth, 125(3), 393–397. https://doi.org/10.1016/j.bja.2020.03.031
Krishnamoorthy, Vijay, Danny J. N. Wong, Matt Wilson, Karthik Raghunathan, Tetsu Ohnuma, Duncan McLean, S Ramani Moonesinghe, and Steve K. Harris. “Causal inference in perioperative medicine observational research: part 1, a graphical introduction.” Br J Anaesth 125, no. 3 (September 2020): 393–97. https://doi.org/10.1016/j.bja.2020.03.031.
Krishnamoorthy V, Wong DJN, Wilson M, Raghunathan K, Ohnuma T, McLean D, et al. Causal inference in perioperative medicine observational research: part 1, a graphical introduction. Br J Anaesth. 2020 Sep;125(3):393–7.
Krishnamoorthy, Vijay, et al. “Causal inference in perioperative medicine observational research: part 1, a graphical introduction.” Br J Anaesth, vol. 125, no. 3, Sept. 2020, pp. 393–97. Pubmed, doi:10.1016/j.bja.2020.03.031.
Krishnamoorthy V, Wong DJN, Wilson M, Raghunathan K, Ohnuma T, McLean D, Moonesinghe SR, Harris SK. Causal inference in perioperative medicine observational research: part 1, a graphical introduction. Br J Anaesth. 2020 Sep;125(3):393–397.
Published In
Br J Anaesth
DOI
EISSN
1471-6771
Publication Date
September 2020
Volume
125
Issue
3
Start / End Page
393 / 397
Location
England
Related Subject Headings
- Perioperative Medicine
- Observational Studies as Topic
- Models, Statistical
- Humans
- Biomedical Research
- Anesthesiology
- 3202 Clinical sciences
- 1103 Clinical Sciences