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Journal of Clinical Epidemiology
|
November 10, 2022
Quasi-experiments are a valuable source of evidence about effects of interventions, programs and policies: commentary from the Campbell Collaboration Study Design and Bias Assessment Working Group
Hugh Sharma Waddington, David B Wilson, Terri Pigott, et al.
Pharmacology & Therapeutics
|
January 31, 2025
Biased agonism in peptide-GPCRs: A structural perspective
Tharindunee Jayakody, Dinath Kavishka Budagoda, Krishan Mendis, et al.
Campbell Systematic Reviews
|
October 8, 2024
Campbell Standards: Modernizing Campbell's Methodologic Expectations for Campbell Collaboration Intervention Reviews (MECCIR)
Ariel M Aloe, Omar Dewidar, Emily A Hennessy, et al.
Campbell Systematic Reviews
|
June 12, 2026
Risk of Bias in Experiments, Quasi-Experiments and Natural Experiments Across Disciplines: Discussion Paper and Assessment Framework
Hugh Sharma Waddington, David B Wilson, Terri Pigott, et al.
JAMA
|
April 29, 2015
Preferred Reporting Items for Systematic Review and Meta-Analyses of individual participant data: the PRISMA-IPD Statement
Lesley A Stewart, Mike Clarke, Maroeska Rovers, et al.
Pain
|
April 26, 2022
Investigating the veracity of a sample of divergent published trial data in spinal pain
Neil E O'Connell, R Andrew Moore, Gavin Stewart, et al.
Journal of Clinical Epidemiology
|
March 2, 2023
Effective quality control in the medical literature: investigation and retraction vs inaction
Amanda C de C Williams, Leslie Hearn, R Andrew Moore, et al.
Pain
|
March 20, 2023
Reply to Monticone
Neil Edward O'Connell, R Andrew Moore, Gavin Stewart, et al.
The Journal of Pain
|
July 15, 2023
Trials We Cannot Trust: Investigating Their Impact on Systematic Reviews and Clinical Guidelines in Spinal Pain
Neil O'Connell, R Andrew Moore, Gavin Stewart, et al.
Health Technology Assessment (Winchester, England)
|
October 5, 2024
Antidepressants for pain management in adults with chronic pain: a network meta-analysis
Hollie Birkinshaw, Claire Friedrich, Peter Cole, et al.
Page
of 7
Search research articles
Search
Showing results (41-50 of 70) with videos related to
Sort By:
Page
of 7
Journal of Clinical Epidemiology
|
November 10, 2022
Quasi-experiments are a valuable source of evidence about effects of interventions, programs and policies: commentary from the Campbell Collaboration Study Design and Bias Assessment Working Group
Hugh Sharma Waddington, David B Wilson, Terri Pigott, et al.
Pharmacology & Therapeutics
|
January 31, 2025
Biased agonism in peptide-GPCRs: A structural perspective
Tharindunee Jayakody, Dinath Kavishka Budagoda, Krishan Mendis, et al.
Campbell Systematic Reviews
|
October 8, 2024
Campbell Standards: Modernizing Campbell's Methodologic Expectations for Campbell Collaboration Intervention Reviews (MECCIR)
Ariel M Aloe, Omar Dewidar, Emily A Hennessy, et al.
Campbell Systematic Reviews
|
June 12, 2026
Risk of Bias in Experiments, Quasi-Experiments and Natural Experiments Across Disciplines: Discussion Paper and Assessment Framework
Hugh Sharma Waddington, David B Wilson, Terri Pigott, et al.
JAMA
|
April 29, 2015
Preferred Reporting Items for Systematic Review and Meta-Analyses of individual participant data: the PRISMA-IPD Statement
Lesley A Stewart, Mike Clarke, Maroeska Rovers, et al.
Pain
|
April 26, 2022
Investigating the veracity of a sample of divergent published trial data in spinal pain
Neil E O'Connell, R Andrew Moore, Gavin Stewart, et al.
Journal of Clinical Epidemiology
|
March 2, 2023
Effective quality control in the medical literature: investigation and retraction vs inaction
Amanda C de C Williams, Leslie Hearn, R Andrew Moore, et al.
Pain
|
March 20, 2023
Reply to Monticone
Neil Edward O'Connell, R Andrew Moore, Gavin Stewart, et al.
The Journal of Pain
|
July 15, 2023
Trials We Cannot Trust: Investigating Their Impact on Systematic Reviews and Clinical Guidelines in Spinal Pain
Neil O'Connell, R Andrew Moore, Gavin Stewart, et al.
Health Technology Assessment (Winchester, England)
|
October 5, 2024
Antidepressants for pain management in adults with chronic pain: a network meta-analysis
Hollie Birkinshaw, Claire Friedrich, Peter Cole, et al.
Page
of 7