In: Statistics

Variability in the analysis of a single neuroimaging dataset by many teams
May 28, 2020

To test the reproducibility and robustness of results obtained in the neuroimaging field, 70 independent teams of neuroimaging experts from across…

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Commentary March 2020
March 31, 2020

Comment on Walsh et al. “The statistical significance of randomized controlled trial results is frequently fragile: a case for a Fragility…

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To “p” or not to “p”
May 22, 2019

“A biologist and a statistician are in prison and, before being executed, are asked about their last wish. Statistician wants to…

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Why we need to report more than ’Data were Analyzed by t-tests or ANOVA’
March 11, 2019

In this article,Weissgerber et al. present findings suggesting that scientific publications are often lacking sufficient information about the statistical methods used,…

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Many Analysts, One Data Set: Making Transparent How Variations in Analytic Choices Affect Results
November 17, 2018

In this article, 29 independent research teams used the same data set to address the same research question: whether soccer referees…

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Simple changes of individual studies can improve the reproducibility of the biomedical scientific process as a whole
November 17, 2018

Today, the probability of successfully publishing negative/null results in biomedical research is lower than that for positive results. For instance, negative…

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Researcher Requests for Inappropriate Analysis and Reporting: A U.S. Survey of Consulting Biostatisticians
November 17, 2018

In this report, Wang and colleagues present the results of a national survey of nearly 400 consulting statisticians about requests from…

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Guidelines on statistics for researchers using laboratory animals: the essentials
September 10, 2018

There is a growing concern that flawed statistics and deficient reproducibility in biomedical studies results in an unethical waste of animals…

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Bayes’ Theorem: How do we weigh evidence to make decisions?
July 20, 2018

In this clearly and graphically explained educational video, Amber Biology offers an intuitive introduction to Bayes’ Theorem, using biomarkers and ovarian cancer…

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Four simple ways to increase power without increasing the sample size
July 9, 2018

Underpowered experiments have three problems: true effects are harder to detect, the true effects that are detected tend to have inflated…

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