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Causal inference in perioperative medicine observational research: part 2, advanced methods.

Publication ,  Journal Article
Krishnamoorthy, V; McLean, D; Ohnuma, T; Harris, SK; Wong, DJN; Wilson, M; Moonesinghe, R; Raghunathan, K
Published in: Br J Anaesth
September 2020

Although RCTs represent the gold standard in clinical research, most clinical questions cannot be answered using this technique, because of ethical considerations, time, and cost. The goal of observational research in clinical medicine is to gain insight into the relationship between a clinical exposure and patient outcome, in the absence of evidence from RCTs. Observational research offers additional benefit when compared with data from RCTs: the conclusions are often more generalisable to a heterogenous population, which may be of greater value to everyday clinical practice. In Part 2 of this methods series, we will introduce the reader to several advanced methods for supporting the case for causality between an exposure and outcome, including: mediation analysis, natural experiments, and joint effects methods.

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Published In

Br J Anaesth

DOI

EISSN

1471-6771

Publication Date

September 2020

Volume

125

Issue

3

Start / End Page

398 / 405

Location

England

Related Subject Headings

  • Perioperative Medicine
  • Observational Studies as Topic
  • Humans
  • Biomedical Research
  • Anesthesiology
  • 3202 Clinical sciences
  • 1103 Clinical Sciences
 

Citation

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Krishnamoorthy, V., McLean, D., Ohnuma, T., Harris, S. K., Wong, D. J. N., Wilson, M., … Raghunathan, K. (2020). Causal inference in perioperative medicine observational research: part 2, advanced methods. Br J Anaesth, 125(3), 398–405. https://doi.org/10.1016/j.bja.2020.03.032
Krishnamoorthy, Vijay, Duncan McLean, Tetsu Ohnuma, Steve K. Harris, Danny J. N. Wong, Matt Wilson, Ramani Moonesinghe, and Karthik Raghunathan. “Causal inference in perioperative medicine observational research: part 2, advanced methods.Br J Anaesth 125, no. 3 (September 2020): 398–405. https://doi.org/10.1016/j.bja.2020.03.032.
Krishnamoorthy V, McLean D, Ohnuma T, Harris SK, Wong DJN, Wilson M, et al. Causal inference in perioperative medicine observational research: part 2, advanced methods. Br J Anaesth. 2020 Sep;125(3):398–405.
Krishnamoorthy, Vijay, et al. “Causal inference in perioperative medicine observational research: part 2, advanced methods.Br J Anaesth, vol. 125, no. 3, Sept. 2020, pp. 398–405. Pubmed, doi:10.1016/j.bja.2020.03.032.
Krishnamoorthy V, McLean D, Ohnuma T, Harris SK, Wong DJN, Wilson M, Moonesinghe R, Raghunathan K. Causal inference in perioperative medicine observational research: part 2, advanced methods. Br J Anaesth. 2020 Sep;125(3):398–405.
Journal cover image

Published In

Br J Anaesth

DOI

EISSN

1471-6771

Publication Date

September 2020

Volume

125

Issue

3

Start / End Page

398 / 405

Location

England

Related Subject Headings

  • Perioperative Medicine
  • Observational Studies as Topic
  • Humans
  • Biomedical Research
  • Anesthesiology
  • 3202 Clinical sciences
  • 1103 Clinical Sciences