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The Meta-Analysis of Response Ratios in Experimental Ecology
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The Meta-Analysis of Response Ratios in Experimental Ecology (1999)The Meta-Analysis of Response Ratios in E…Quantitative evidence synthesis: a practical guide on meta-analysis, meta-regression, and publication bias tests for environmental sciences (2023)Quantitative evidence synthes…Publication bias impacts on effect size, statistical power, and magnitude (Type M) and sign (Type S) errors in ecology and evolutionary biology (2022)Publication bias impacts on e…Flexible synthesis to deliver relevant evidence for decision-making (2022)Flexible synthesis to deliver…Dynamic meta-analysis: a method of using global evidence for local decision making (2021)Dynamic meta-analysis: a meth…Revisiting and expanding the meta‐analysis of variation: The log coefficient of variation ratio (2020)Revisiting and expanding the …Comparing traditional and Bayesian approaches to ecological meta‐analysis (2020)Comparing traditional and Bay…Assessing the risk of bias in choice of search sources for environmental meta‐analyses (2020)Assessing the risk of bias in…Mate Choice Copying in Humans: a Systematic Review and Meta-Analysis (2018)Mate Choice Copying in Humans…Measuring inconsistency in meta-analyses (2003)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. (2009)Statistical Methods for Meta-Analysis. (1986)Quantifying heterogeneity in a meta‐analysis (2002)Conducting Meta-Analyses in R with the metafor Package (2010)Detecting Heterogeneity of Intervention Effects Using Analysis and Meta-analysis of Differences in Variance Between Trial Arms (2021)Low statistical power and overestimated anthropogenic impacts, exacerbated by publication bias, dominate field studies in global change biology (2021)Publication bias impacts on effect size, statistical power, and magnitude (Type M) and sign (Type S) errors in ecology and evolutionary biology (2023)THE META-ANALYSIS OF RESPONSE RATIOS IN EXPERIMENTAL ECOLOGY (1999)A Re-Evaluation of Random-Effects Meta-Analysis (2008)An assessment of statistical methods for nonindependent data in ecological meta‐analyses: Comment (2021)Bayesian Methods for Meta-Analyses of Binary Outcomes: Implementations, Examples, and Impact of Priors (2021)Transparent reporting items for simulation studies evaluating statistical methods: Foundations for reproducibility and reliability (2024)Introduction to Meta‐Analysis (2009)Cochrane Handbook for Systematic Reviews of Interventions (2019)Potential types of bias when estimating causal effects in environmental research and how to interpret them (2024)Introduction to Meta‐Analysis (2021)Leveraging AI to improve evidence synthesis in conservation (2024)New horizons for comparative studies and meta-analyses (2024)External validity of randomised controlled trials: “To whom do the results of this trial apply?” (2005)The Extent and Consequences of P-Hacking in Science (2015)The Mass Production of Redundant, Misleading, and Conflicted Systematic Reviews and Meta‐analyses (2016)The file drawer problem and tolerance for null results. (1979)Power failure: why small sample size undermines the reliability of neuroscience (2013)Measuring biological generality in meta-analysis: a pluralistic approach to heterogeneity quantification and stratification (2023)Bias in meta-analysis detected by a simple, graphical test (1997)Meta-Analysis of Social Science Research: A Practitioner’s Guide (2023)
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  • 2020Revisiting and expanding the meta‐analysis of variation: The log coefficient of variation ratio110 cited
  • 2018Mate Choice Copying in Humans: a Systematic Review and Meta-Analysis50 cited
  • 2021Dynamic meta-analysis: a method of using global evidence for local decision making47 cited
  • 2020Comparing traditional and Bayesian approaches to ecological meta‐analysis31 cited
  • 2020Assessing the risk of bias in choice of search sources for environmental meta‐analyses28 cited
  • 2022Flexible synthesis to deliver relevant evidence for decision-making16 cited
  • 2022Publication bias impacts on effect size, statistical power, and magnitude (Type M) and sign (Type S) errors in ecology and evolutionary biology14 cited
  • 2023Quantitative evidence synthesis: a practical guide on meta-analysis, meta-regression, and publication bias tests for environmental sciences13 cited

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