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Neuroscience and Biobehavioral Reviews|July 10, 2025
Prevalence of cancer-related cognitive impairment in pediatric patients and survivors of non-CNS cancers: A systematic review and meta-analysisInes Semendric, Timothy H Barker, Olivia J Haller, et al.
JBI Evidence Synthesis|February 22, 2024
Common tool structures and approaches to risk of bias assessment: implications for systematic reviewersJennifer C Stone, Jo Leonardi-Bee, Timothy H Barker, et al.
Scientific Reports|May 31, 2018
A Judgement Bias Test to Assess Affective State and Potential Therapeutics in a Rat Model of Chemotherapy-Induced MucositisRebecca P George, Timothy H Barker, Kerry A Lymn, et al.
JBI Evidence Synthesis|February 22, 2024
Implementing GRADE in systematic reviews that adhere to JBI methodological conductCindy Stern, Zachary Munn, Timothy H Barker, et al.
JBI Evidence Implementation|September 2, 2020
Promoting healthy lifestyle considerations during pregnancy in Midwifery clinics in China: a best practice implementation projectJinguo Zhai, Xiaoqi Hu, Zhiying Wen, et al.
Journal of Clinical Epidemiology|November 20, 2025
Methods for developing diagnostic criteria for conditions without objective tests, biomarkers, or reference standards: a scoping reviewSamuel J White, Timothy H Barker, Tracy Merlin, et al.
JBI Evidence Synthesis|January 30, 2024
The revised JBI critical appraisal tool for the assessment of risk of bias for quasi-experimental studiesTimothy H Barker, Nahal Habibi, Edoardo Aromataris, et al.
Research Synthesis Methods|January 6, 2023
How should we handle predatory journals in evidence synthesis? A descriptive survey-based cross-sectional study of evidence synthesis expertsTimothy H Barker, Danielle Pollock, Jennifer C Stone, et al.
JBI Evidence Synthesis|June 16, 2025
The revised JBI critical appraisal tool for the assessment of risk of bias for analytical cross-sectional studiesTimothy H Barker, Sabira Hasanoff, Edoardo Aromataris, et al.
JBI Evidence Synthesis|August 23, 2024
The revised JBI critical appraisal tool for the assessment of risk of bias for cohort studiesTimothy H Barker, Sabira Hasanoff, Edoardo Aromataris, et al.
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