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Reduce Uncertainty

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Benchmarking Studies

Benchmarking for Clustering Methods Based on Real Data: A Statistical View (2017)

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Towards evidence-based computational statistics: lessons from clinical research on the role and design of real-data benchmark studies (2017)

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Random forest versus logistic regression: a large-scale benchmark experiment

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Large-scale benchmark study of survival prediction methods using multi-omics data (2020)

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The Design and Analysis of Benchmark Experiments (2005)

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STRengthening Analytical Thinking for Observational Studies: the STRATOS initiative (2014)

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Increase Sample Size

Sample-Size Planning for More Accurate Statistical Power: A Method Adjusting Sample Effect Sizes for Publication Bias and Uncertainty (2017)

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Power failure: why small sample size undermines the reliability of neuroscience (2013)

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Low statistical power in biomedical science: a review of three human research domains (2017)

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Estimating statistical power, posterior probability and publication bias of psychological research using the observed replication rate (2018)

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The Power of Bias in Economics Research (2017)

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Why animal research needs to improve (2011)

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The persistence of underpowered studies in psychological research: causes, consequences, and remedies (2004)

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At what sample size do correlations stabilize? (2013)

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Empirical assessment of published effect sizes and power in the recent cognitive neuroscience and psychology literature (2017)

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On the Persistence of Low Power in Psychological Science (2014)

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Integrate Existing Knowledge

Subjective Bayesian Analysis: Principles and Practice (2006)

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Use of historical control data for assessing treatment effects in clinical trials (2014)

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Borrowing strength from external trials in a meta-analysis (1996)

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Integrating Functional Data to Prioritize Causal Variants in Statistical Fine-Mapping Studies (2014)

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An empirical Bayes approach to network recovery using external knowledge (2017)

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More Precise Theories

What can recent replication failures tell us about the theoretical commitments of psychology? (2014)

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The empirical benefits of conceptual rigor: Systematic articulation of conceptual hypotheses can reduce the risk of non-replicable results (and facilitate novel discoveries too) (2016)

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Increasing Transparency Through a Multiverse Analysis (2016)

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Standardize Experimental Conditions

Reproducibility crisis: Blame it on the antibodies (2015)

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A Genecentric Human Protein Atlas for Expression Profiles Based on Antibodies (2008)

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Research antibodies: do not use them to stain your reputation (2015)

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Standards for design and measurement would make clinical research reproducible and usable (2018)

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Irreproducibility in Preclinical Biomedical Research: Perceptions, Uncertainties, and Knowledge Gaps (2016)

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Never Waste a Good Crisis: Confronting Reproducibility in Translational Research (2016)

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Press CRTT to Measure Aggressive Behavior: The Unstandardized Use of the Competitive Reaction Time Task in Aggression Research (2014)

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Preclinical research: Make mouse studies work (2013)

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Fearing the Future of Empirical Psychology: Bem's (2011) Evidence of Psi as a Case Study of Deficiencies in Modal Research Practice (2011)

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A proposal for validation of antibodies (2016)

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On the reproducibility of science: unique identification of research resources in the biomedical literature (2013)

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Improve Measurements

We need more replication research – A case for test-retest reliability (2017)

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Measurement error and the replication crisis (2017)

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