Rethinking Statistical Theory in the Era of High-Throughput Observational Data
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We are witnessing a scientific revolution driven by advanced observational technologies. This surge creates a pivotal moment for statisticians, not only to showcase their importance in scientific research but also to fundamentally reassess foundational concepts in statistical theory, particularly regarding error rates like Type I errors. As we adapt to new data landscapes, it is crucial to evolve our approaches and methodologies to better serve the scientific community and ensure robust and meaningful results.
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Rethinking Statistical Theory in the Era of High-Throughput Observational Data
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