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A Common Control Group - Optimising the Experiment Design to Maximise Sensitivity
6 references·0 citing·22 second hop
A Common Control Group - Optimising the Experiment Design to Maximise Sensitivity (2014)A Common Control Group - Optimising the E…Experimental Design for the Life Sciences (2016)Experimental Design for the L…G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences (2007)G*Power 3: A flexible statist…Why Most Published Research Findings Are False (2005)Why Most Published Research F…Why Most Published Research Findings Are False (2005)Why Most Published Research F…Excessive trust in authorities and its influence on experimental design (2004)Excessive trust in authoritie…The importance of statistical power analysis: an example fromAnimal Behaviour (1996)The importance of statistical…An Introduction to Scientific Research (1954)The Structure of Scientific Revolutions (1963)The Structure of Scientific Revolutions. (1964)Design and Analysis: A Researcher's Handbook (1975)GPOWER: A general power analysis program (1996)Design and Analysis: A Researcher's Handbook (2005)Power failure: why small sample size undermines the reliability of neuroscience (2013)ESG and financial performance: aggregated evidence from more than 2000 empirical studies (2015)Effect size guidelines for individual differences researchers (2016)Improving the quality of reports of meta-analyses of randomised controlled trials: the QUOROM statement (1999)Meta-analysis of Observational Studies in Epidemiology A Proposal for Reporting (2000)The CONSORT statement: revised recommendations for improving the quality of reports of parallel-group randomised trials (2001)False-Positive Psychology (2011)Estimating the reproducibility of psychological science (2015)Development and Validation of a Rubric for Diagnosing Students’ Experimental Design Knowledge and Difficulties (2014)Incorporating Enterprise Risk Management in the Business Model Innovation Process (2014)EFFECTS OF CAPITAL STRUCTURE ON FINANCIAL PERFORMANCE OF FIRMS IN KENYA: EVIDENCE FROM FIRMS LISTED AT THE NAIROBI SECURITIES EXCHANGE (2015)Climatic determinants of diet and foraging behaviour in baboons (2002)Impact of Criticism of Null‐Hypothesis Significance Testing on Statistical Reporting Practices in Conservation Biology (2006)Analysis of Variance and Covariance: How to Choose and Construct Models for the Life Sciences (2007)The New Statistics (2013)The ethics of algorithms: Mapping the debate (2016)
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References

  • 2007G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences65,813 cited
  • 2005Why Most Published Research Findings Are False10,471 cited
  • 2005Why Most Published Research Findings Are False4,702 cited
  • 1996The importance of statistical power analysis: an example fromAnimal Behaviour217 cited
  • 2016Experimental Design for the Life Sciences106 cited
  • 2004Excessive trust in authorities and its influence on experimental design10 cited

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