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A large-scale in silico replication of ecological and evolutionary studies
16 references·0 citing·40 second hop
A large-scale in silico replication of ecological and evolutionary studies (2024)A large-scale in silico replication of ec…Finding the right power balance: Better study design and collaboration can reduce dependence on statistical power (2024)Finding the right power balan…Publication bias impacts on effect size, statistical power, and magnitude (Type M) and sign (Type S) errors in ecology and evolutionary biology (2023)Publication bias impacts on e…Exaggerated effects in ecology (2023)Exaggerated effects in ecologyEmpirical evidence of widespread exaggeration bias and selective reporting in ecology (2023)Empirical evidence of widespr…A New Look at P Values for Randomized Clinical Trials (2023)A New Look at P Values for Ra…Response to ‘Why P values are not measures of evidence’ by D. Lakens (2022)Response to ‘Why P values are…Joint reply to 'Rewriting results in the language of compatibility' by V. Amrhein and S. Greenland, and to 'The evidence contained in the P-value is context dependent' by F. Hartig and F. Barraquand (2022)Joint reply to 'Rewriting res…How large should the next study be? Predictive power and sample size requirements for replication studies (2022)How large should the next stu…Decline effects are rare in ecology (2022)Decline effects are rare in e…Build up big-team science (2022)Build up big-team scienceThe statistical properties of RCTs and a proposal for shrinkage (2021)The statistical properties of…Investigating the replicability of preclinical cancer biology (2021)Investigating the replicabili…Rate and success of study replication in ecology and evolution (2019)Rate and success of study rep…Many Labs 2: Investigating Variation in Replicability Across Samples and Settings (2018)Many Labs 2: Investigating Va…Transparency in Ecology and Evolution: Real Problems, Real Solutions (2016)Transparency in Ecology and E…Estimating the reproducibility of psychological science (2015)Estimating the reproducibilit…Why Most Published Research Findings Are False (2005)Conducting Meta-Analyses in R with the metafor Package (2010)Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs (2013)1,500 scientists lift the lid on reproducibility (2016)Estimating Psychological Networks and their Accuracy: A Tutorial Paper (2016)Estimating psychological networks and their accuracy: A tutorial paper (2017)Confirmation Bias: A Ubiquitous Phenomenon in Many Guises (1998)Power failure: why small sample size undermines the reliability of neuroscience (2013)Meta-evaluation of meta-analysis: ten appraisal questions for biologists (2017)Meta-analysis and the science of research synthesis (2018)Preferred reporting items for systematic reviews and meta‐analyses in ecology and evolutionary biology: a PRISMA extension (2021)Society and the Adolescent Self-Image (1965)The Satisfaction With Life Scale (1985)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Evaluating the replicability of social science experiments in Nature and Science between 2010 and 2015 (2018)How Many Participants Do We Have to Include in Properly Powered Experiments? A Tutorial of Power Analysis with Reference Tables (2019)Beyond Western, Educated, Industrial, Rich, and Democratic (WEIRD) Psychology: Measuring and Mapping Scales of Cultural and Psychological Distance (2020)Contradicted and Initially Stronger Effects in Highly Cited Clinical Research (2005)Believe it or not: how much can we rely on published data on potential drug targets? (2011)Maximizing the effectiveness of qualitative systematic reviews: A case study on terrestrial arthropod conservation translocations (2021)A call for clean code to effectively communicate science (2022)Publication bias impacts on effect size, statistical power, and magnitude (Type M) and sign (Type S) errors in ecology and evolutionary biology (2022)The file drawer problem and tolerance for null results. (1979)Replication concerns in sports and exercise science: a narrative review of selected methodological issues in the field (2022)The replication crisis has led to positive structural, procedural, and community changes (2023)Reproducibility in machine‐learning‐based research: Overview, barriers, and drivers (2025)The Psychological Science Accelerator: Advancing Psychology Through a Distributed Collaborative Network (2018)Quantifying Sources of Variability in Infancy Research Using the Infant-Directed-Speech Preference (2020)Construct validity and the validity of replication studies: A systematic review. (2022)The CANDOR corpus: Insights from a large multimodal dataset of naturalistic conversation (2023)Why Most Discovered True Associations Are Inflated (2008)Beyond Power Calculations (2014)Justify your alpha (2018)Forcing a Deterministic Frame on Probabilistic Phenomena: A Communication Blind Spot in Media Coverage of the “Replication Crisis” (2024)Advanced methods and implementations for the meta-analyses of animal models: Current practices and future recommendations (2022)Same data, different analysts: variation in effect sizes due to analytical decisions in ecology and evolutionary biology (2025)Same data, different analysts: variation in effect sizes due to analytical decisions in ecology and evolutionary biology (2023)A Systematic Review on the Evolution of Power Analysis Practices in Psychological Research (2025)Ending publication bias: A values-based approach to surface null and negative results (2025)Poor hypotheses and research waste in biology: learning from a theory crisis in psychology (2025)
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References

  • 2015Estimating the reproducibility of psychological science8,516 cited
  • 2018Many Labs 2: Investigating Variation in Replicability Across Samples and Settings944 cited
  • 2021Investigating the replicability of preclinical cancer biology436 cited
  • 2016Transparency in Ecology and Evolution: Real Problems, Real Solutions201 cited
  • 2022Build up big-team science86 cited
  • 2023Publication bias impacts on effect size, statistical power, and magnitude (Type M) and sign (Type S) errors in ecology and evolutionary biology81 cited
  • 2023Empirical evidence of widespread exaggeration bias and selective reporting in ecology68 cited
  • 2019Rate and success of study replication in ecology and evolution62 cited
  • 2023A New Look at P Values for Randomized Clinical Trials39 cited
  • 2024Finding the right power balance: Better study design and collaboration can reduce dependence on statistical power36 cited
  • 2021The statistical properties of RCTs and a proposal for shrinkage33 cited
  • 2022Decline effects are rare in ecology32 cited
  • 2022How large should the next study be? Predictive power and sample size requirements for replication studies26 cited
  • 2022Response to ‘Why P values are not measures of evidence’ by D. Lakens14 cited

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2022
Joint reply to 'Rewriting results in the language of compatibility' by V. Amrhein and S. Greenland, and to 'The evidence contained in the P-value is context dependent' by F. Hartig and F. Barraquand
10 cited
  • 2023Exaggerated effects in ecology9 cited
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