Literature DB >> 35598499

A Clinician's Guide to Conducting Research on Causal Effects.

Vivian H Lyons1, Jamaica Rm Robinson2, Brianna Mills3, Elizabeth Y Killien4, Stephen J Mooney3.   

Abstract

Surgeons are uniquely poised to conduct research to improve patient care, yet a gap often exists between the clinician's desire to guide patient care with causal evidence and having adequate training necessary to produce causal evidence. This guide aims to address this gap by providing clinically relevant examples to illustrate necessary assumptions required for clinical research to produce causal estimates.
Copyright © 2022 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Academic surgery; Causality; Clinical research; Epidemiological research design

Mesh:

Year:  2022        PMID: 35598499      PMCID: PMC9444568          DOI: 10.1016/j.jss.2022.04.059

Source DB:  PubMed          Journal:  J Surg Res        ISSN: 0022-4804            Impact factor:   2.417


  24 in total

1.  Robust causal inference using directed acyclic graphs: the R package 'dagitty'.

Authors:  Johannes Textor; Benito van der Zander; Mark S Gilthorpe; Maciej Liskiewicz; George Th Ellison
Journal:  Int J Epidemiol       Date:  2016-12-01       Impact factor: 7.196

2.  Associations are not effects.

Authors:  D B Petitti
Journal:  Am J Epidemiol       Date:  1991-01-15       Impact factor: 4.897

3.  Invited commentary: positivity in practice.

Authors:  Daniel Westreich; Stephen R Cole
Journal:  Am J Epidemiol       Date:  2010-02-05       Impact factor: 4.897

4.  Sensitivity Analysis in Observational Research: Introducing the E-Value.

Authors:  Tyler J VanderWeele; Peng Ding
Journal:  Ann Intern Med       Date:  2017-07-11       Impact factor: 25.391

5.  Evidence-based medicine.

Authors:  D L Sackett
Journal:  Semin Perinatol       Date:  1997-02       Impact factor: 3.300

Review 6.  Applying Causal Inference Methods in Psychiatric Epidemiology: A Review.

Authors:  Henrik Ohlsson; Kenneth S Kendler
Journal:  JAMA Psychiatry       Date:  2020-06-01       Impact factor: 21.596

7.  Causal inference-so much more than statistics.

Authors:  Neil Pearce; Debbie A Lawlor
Journal:  Int J Epidemiol       Date:  2016-12-01       Impact factor: 7.196

8.  Understanding and misunderstanding randomized controlled trials.

Authors:  Angus Deaton; Nancy Cartwright
Journal:  Soc Sci Med       Date:  2017-12-25       Impact factor: 5.379

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

Authors:  Jan P Vandenbroucke; Alex Broadbent; Neil Pearce
Journal:  Int J Epidemiol       Date:  2016-12-01       Impact factor: 7.196

10.  Contemporary global perspectives of medical students on research during undergraduate medical education: a systematic literature review.

Authors:  C Stone; G Y Dogbey; S Klenzak; K Van Fossen; B Tan; G D Brannan
Journal:  Med Educ Online       Date:  2018-12
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