Works matching IS 17592879 AND DT 2023 AND VI 14 AND IP 3
Results: 21
Citation tracking for systematic literature searching: A scoping review.
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- Research Synthesis Methods, 2023, v. 14, n. 3, p. 563, doi. 10.1002/jrsm.1635
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Comparison and validation of metadta for meta‐analysis of diagnostic test accuracy studies.
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- Research Synthesis Methods, 2023, v. 14, n. 3, p. 544, doi. 10.1002/jrsm.1634
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Combining estimators in interlaboratory studies and meta‐analyses.
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- Research Synthesis Methods, 2023, v. 14, n. 3, p. 526, doi. 10.1002/jrsm.1633
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A critical reflection on computing the sampling variance of the partial correlation coefficient.
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- Research Synthesis Methods, 2023, v. 14, n. 3, p. 520, doi. 10.1002/jrsm.1632
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Correct standard errors can bias meta‐analysis.
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- Research Synthesis Methods, 2023, v. 14, n. 3, p. 515, doi. 10.1002/jrsm.1631
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Applying and reporting relevance, richness and rigour in realist evidence appraisals: Advancing key concepts in realist reviews.
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- Research Synthesis Methods, 2023, v. 14, n. 3, p. 504, doi. 10.1002/jrsm.1630
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Why do researchers co‐author evidence syntheses with librarians? A mixed‐methods study.
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- Research Synthesis Methods, 2023, v. 14, n. 3, p. 489, doi. 10.1002/jrsm.1629
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metaCOVID: A web‐application for living meta‐analyses of COVID‐19 trials.
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- Research Synthesis Methods, 2023, v. 14, n. 3, p. 479, doi. 10.1002/jrsm.1627
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RIMeta: An R shiny tool for estimating the reference interval from a meta‐analysis.
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- Research Synthesis Methods, 2023, v. 14, n. 3, p. 468, doi. 10.1002/jrsm.1626
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Developing prediction models when there are systematically missing predictors in individual patient data meta‐analysis.
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- Research Synthesis Methods, 2023, v. 14, n. 3, p. 455, doi. 10.1002/jrsm.1625
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Feasibility and desirability of screening search results from Google Search exhaustively for systematic reviews: A cross‐case analysis.
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- Research Synthesis Methods, 2023, v. 14, n. 3, p. 427, doi. 10.1002/jrsm.1622
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A cautionary note on the use of G‐computation in population adjustment.
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- Research Synthesis Methods, 2023, v. 14, n. 3, p. 338, doi. 10.1002/jrsm.1621
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SeroTracker‐RoB: A decision rule‐based algorithm for reproducible risk of bias assessment of seroprevalence studies.
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- Research Synthesis Methods, 2023, v. 14, n. 3, p. 414, doi. 10.1002/jrsm.1620
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Sample size calculation for clinical trials analyzed with the meta‐analytic‐predictive approach.
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- Research Synthesis Methods, 2023, v. 14, n. 3, p. 396, doi. 10.1002/jrsm.1618
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Graphical tools for visualizing the results of network meta‐analysis of multicomponent interventions.
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- Research Synthesis Methods, 2023, v. 14, n. 3, p. 382, doi. 10.1002/jrsm.1617
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On the double‐robustness and semiparametric efficiency of matching‐adjusted indirect comparisons.
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- Research Synthesis Methods, 2023, v. 14, n. 3, p. 438, doi. 10.1002/jrsm.1616
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How should we handle predatory journals in evidence synthesis? A descriptive survey‐based cross‐sectional study of evidence synthesis experts.
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- Research Synthesis Methods, 2023, v. 14, n. 3, p. 370, doi. 10.1002/jrsm.1613
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ccaR: A package for assessing primary study overlap across systematic reviews in overviews.
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- Research Synthesis Methods, 2023, v. 14, n. 3, p. 443, doi. 10.1002/jrsm.1610
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Critical appraisal in ecology: What tools are available, and what is being used in systematic reviews?
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- Research Synthesis Methods, 2023, v. 14, n. 3, p. 342, doi. 10.1002/jrsm.1609
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Identifying and managing problematic trials: A research integrity assessment tool for randomized controlled trials in evidence synthesis.
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- Research Synthesis Methods, 2023, v. 14, n. 3, p. 357, doi. 10.1002/jrsm.1599
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Issue Information.
- Published in:
- Research Synthesis Methods, 2023, v. 14, n. 3, p. 337, doi. 10.1002/jrsm.1572
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- Article