2,113 research outputs found

    Open Science and Research Reproducibility

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    Many scientists, journals and funders are concerned about the low reproducibility of many scientific findings. One approach that may serve to improve the reliability and robustness of research is open science. Here I argue that the process of pre-registering study protocols, sharing study materials and data, and posting preprints of manuscripts may serve to improve quality control procedures at every stage of the research pipeline, and in turn improve the reproducibility of published work

    Don’t let the perfect be the enemy of the good

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    There is a growing interest in the factors that influence research quality and into research culture more generally. Reform must be evidence based, but experimental studies in real-world settings can be challenging. Observational evidence, even if imperfect, can be a valuable and efficient starting point to help identify the most fruitful avenues for meta-research investment

    Opening up addiction science

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    Understanding the Role of Additives in Tobacco Products

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    Tobacco Marketing by Stealth

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    Current Incentives for Scientists Lead to Underpowered Studies with Erroneous Conclusions

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    This is the final version of the article. Available from Public Library of Science via the DOI in this record.We can regard the wider incentive structures that operate across science, such as the priority given to novel findings, as an ecosystem within which scientists strive to maximise their fitness (i.e., publication record and career success). Here, we develop an optimality model that predicts the most rational research strategy, in terms of the proportion of research effort spent on seeking novel results rather than on confirmatory studies, and the amount of research effort per exploratory study. We show that, for parameter values derived from the scientific literature, researchers acting to maximise their fitness should spend most of their effort seeking novel results and conduct small studies that have only 10%-40% statistical power. As a result, half of the studies they publish will report erroneous conclusions. Current incentive structures are in conflict with maximising the scientific value of research; we suggest ways that the scientific ecosystem could be improved.Funding: Medical Research Council and the University of Bristol (grant number MC_UU_12013/6).Received by MRM. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Natural Environment Research Council (grant number NE/L011921/1).Received by ADH. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. MRM is a member of the UK Centre for Tobacco and Alcohol Studies, a UKCRC Public Health Research: Centre of Excellence. Funding from British Heart Foundation, Cancer Research UK, Economic and Social Research Council, Medical Research Council, and the National Institute for Health Research, under the auspices of the UK Clinical Research Collaboration, is gratefully acknowledge

    Null is beautiful:On the importance of publishing null results

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    Small Sample Sizes and a False Economy for Psychiatric Clinical Trials

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