AppRaise: Software for Quantifying Evidence Uncertainty in Systematic Reviews Using a Posterior Mixture Model

AppRaise can be utilized as a standalone tool or as a complement to validate the quality of evidence assessed using qualitative-based scoring methods. This approach is also useful for assessing the sensitivity of parameter estimates to potential biases introduced by primary studies.

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Publication Details

Journal
Journal of Evaluation in Clinical Practice
Published
2025-09-01
DOI
https://doi.org/10.1111/jep.70272
Primary Topic
Meta-analysis and systematic reviews
Type
article
Field-Weighted Citation Impact
1.40
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article

AppRaise: Software for Quantifying Evidence Uncertainty in Systematic Reviews Using a Posterior Mixture Model

Conrad Kabali
Journal of Evaluation in Clinical Practice
Meta-analysis and systematic reviews
1.40
article

AppRaise: Software for Quantifying Evidence Uncertainty in Systematic Reviews Using a Posterior Mixture Model

Conrad Kabali
article en

Abstract

AppRaise can be utilized as a standalone tool or as a complement to validate the quality of evidence assessed using qualitative-based scoring methods. This approach is also useful for assessing the sensitivity of parameter estimates to potential biases introduced by primary studies.

Journal of Evaluation in Clinical PracticeVol. 31(6)
University of Toronto (CA), Public Health Ontario (CA)
Openalex Percentile: Top 13%
Meta-analysis and systematic reviews
1.40
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AppRaise: Software for Quantifying Evidence Uncertainty in Systematic Reviews Using a Posterior Mixture Model — Conrad Kabali · Journal of Evaluation in Clinical Practice (2025) | TGRS Research Map | TGRS