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Passive sensing research in psychiatry often yields only small effects due to reliability and heterogeneity issues caused by underpowered, unrepresentative samples. We argue that patient-driven data donation, leveraging widespread health self-tracking, offers an innovative complementary method for collecting larger, more diverse data-sets and improving the validity of inferences from passive measures.
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Herzog et al. (2026) studied this question.
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