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ABSTRACT: Rationale, aims, and objectives
The previous studies demonstrated that the Grading of Recommendations Assessment, Development and Evaluation (GRADE) system, a leading method for evaluating the certainty (quality) of scientific evidence (CoE), cannot reliably differentiate between various levels of CoE when the objective is to accurately assess the magnitude of the treatment effect. An estimated effect size is a function of multiple factors, including the true underlying treatment effect, biases, and other nonlinear factors that affect the estimate in different directions. We postulate that non-weighted, simple linear tallying can provide more accurate estimates of the probability of a true estimate of treatment effects as a function of CoE.Methods
We reasoned that stable tr
SUBMITTER: Djulbegovic B
PROVIDER: S-EPMC12020367 | biostudies-literature | 2025 Apr
REPOSITORIES: biostudies-literature