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  "Description": "In repeated measures studies with extreme large or small\nvalues it is common that the subjects measurements on average\nare closer to the mean of the basic population. Interpreting\npossible changes in the mean in such situations can lead to\nbiased results since the values were not randomly selected,\nthey come from truncated sampling. This method allows to\nestimate the range of means where treatment effects are likely\nto occur when regression toward the mean is present. Ostermann,\nT., Willich, Stefan N. & Luedtke, Rainer. (2008). Regression\ntoward the mean - a detection method for unknown population\nmean based on Mee and Chua's algorithm. BMC Medical Research\nMethodology.<doi:10.1186/1471-2288-8-52>. Acknowledgments: We\nwould like to acknowledge \"Lena Roth\" and \"Nico Steckhan\" for\nthe package's initial updates (Q3 2024) and continued\nsupervision and guidance. Both have contributed to discussing\nand integrating these methods into the package, ensuring they\nare up-to-date and contextually relevant.",
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  "Author": "Daniela Recchia [aut, cre], Thomas Ostermann [ctb], Julian\nStein [ctb]",
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