Strategies to improve research reproducibility

I recently highlighted a symposium that was held to improve the reproducibility of biomedical research. The published report includes a discussion on strategies that can help improve research practice and research reproducibility. Statistics: continuing education opportunities Stakeholders at the conference highlighted the need for continuing education opportunities in statistics. Continuing education should focus on examples and case studies that are

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File in/out: How to import data files from Spike2 (and Matlab) into Python

Spike2 is a type of signal acquisition software commonly used in physiological studies (eg. electromyography, kinematics, cardiovascular research, sleep, etc). It is possible to perform signal analysis in Spike2 by using the drop-down menus, or by programming scripts to automate analysis. However, the programming language for Spike2 is difficult to read, which discourages many scientists from learning to program scripts

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Why we need confidence intervals

At Scientifically Sound, we have reviewed ongoing discussions on the benefits of confidence intervals (CIs) over p values for statistical analysis and reproducibility in research. In a short editorial, the statistician Doug Altman summarised why we need confidence intervals and showed how confidence intervals force investigators to consider sizes of effects. Here are the key points: Two different but complementary

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