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Open AccessSynthetic Data in Medicine
This paper explores the multifaceted implications of synthetic data in AI model development, particularly in medical contexts such as oncology. It examines the benefits of synthetic data, including privacy ...
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Open AccessResampling-based confidence intervals and bands for the average treatment effect in observational studies with competing risks
The g-formula can be used to estimate the treatment effect while accounting for confounding bias in observational studies. With regard to time-to-event endpoints, possibly subject to competing risks, the const...
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Open AccessIs there a role for statistics in artificial intelligence?
The research on and application of artificial intelligence (AI) has triggered a comprehensive scientific, economic, social and political discussion. Here we argue that statistics, as an interdisciplinary scien...
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Open AccessAuthors’ response: on the role of data, statistics and decisions in a pandemic
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Open AccessOn the role of data, statistics and decisions in a pandemic
A pandemic poses particular challenges to decision-making because of the need to continuously adapt decisions to rapidly changing evidence and available data. For example, which countermeasures are appropriate...
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Nonparametric MANOVA in meaningful effects
Multivariate analysis of variance (MANOVA) is a powerful and versatile method to infer and quantify main and interaction effects in metric multivariate multi-factor data. It is, however, neither robust against...