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Terri Pigott

Showing results (1-10 of 16) with videos related to

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Journal of Clinical Epidemiology|August 20, 2013
Identifying, documenting, and examining heterogeneity in systematic reviews of complex interventionsTerri Pigott, Sasha Shepperd
Research Synthesis Methods|June 9, 2015
Combining individual participant and aggregated data in a meta-analysis with correlational studiesTerri Pigott, Ryan Williams, Joshua Polanin
Psychological Medicine|February 12, 2025
The association between cannabis and depression: an updated Systematic Review and Meta-analysisVictoria Churchill, Caroline Sutton Chubb, Lucy Popova, et al.
Journal of Clinical Epidemiology|July 20, 2017
AHRQ series on complex intervention systematic reviews-paper 7: PRISMA-CI elaboration and explanationJeanne-Marie Guise, Mary Butler, Christine Chang, et al.
Journal of Clinical Epidemiology|July 20, 2017
AHRQ series on complex intervention systematic reviews-paper 6: PRISMA-CI extension statement and checklistJeanne-Marie Guise, Mary E Butler, Christine Chang, et al.
Journal of Counseling Psychology|December 15, 2022
Meta-analysis of the relationship between self-critical perfectionism and depressive symptoms: Comparison between Asian American and Asian international college studentsHan Na Suh, Terri Pigott, Kenneth G Rice, et al.
JBI Evidence Synthesis|July 14, 2021
Biological sex disparity in survival outcomes following treatment for renal cell carcinoma: a systematic review protocolStanley Nkemjika, Oluwatosin Tokede, Yuri Jadotte, 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 FrameworkHugh Sharma Waddington, David B Wilson, Terri Pigott, et al.
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 GroupHugh Sharma Waddington, David B Wilson, Terri Pigott, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Journal of Clinical Epidemiology|August 20, 2013
Identifying, documenting, and examining heterogeneity in systematic reviews of complex interventionsTerri Pigott, Sasha Shepperd
Research Synthesis Methods|June 9, 2015
Combining individual participant and aggregated data in a meta-analysis with correlational studiesTerri Pigott, Ryan Williams, Joshua Polanin
Psychological Medicine|February 12, 2025
The association between cannabis and depression: an updated Systematic Review and Meta-analysisVictoria Churchill, Caroline Sutton Chubb, Lucy Popova, et al.
Journal of Clinical Epidemiology|July 20, 2017
AHRQ series on complex intervention systematic reviews-paper 7: PRISMA-CI elaboration and explanationJeanne-Marie Guise, Mary Butler, Christine Chang, et al.
Journal of Clinical Epidemiology|July 20, 2017
AHRQ series on complex intervention systematic reviews-paper 6: PRISMA-CI extension statement and checklistJeanne-Marie Guise, Mary E Butler, Christine Chang, et al.
Journal of Counseling Psychology|December 15, 2022
Meta-analysis of the relationship between self-critical perfectionism and depressive symptoms: Comparison between Asian American and Asian international college studentsHan Na Suh, Terri Pigott, Kenneth G Rice, et al.
JBI Evidence Synthesis|July 14, 2021
Biological sex disparity in survival outcomes following treatment for renal cell carcinoma: a systematic review protocolStanley Nkemjika, Oluwatosin Tokede, Yuri Jadotte, 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 FrameworkHugh Sharma Waddington, David B Wilson, Terri Pigott, et al.
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 GroupHugh Sharma Waddington, David B Wilson, Terri Pigott, et al.
Pageof 2