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Validating methods for inferring co-occurring diseases: a flexible framework for simulating synthetic data

2026-01-15 health informatics Title + abstract only
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The validation of methods is an integral part of statistical research, defining conditions under which methods can yield reliable results. When validation is carried out empirically, it requires a solid data basis that allows the control and management of relevant characteristics. In particular, depending on the context, the data must meet specific requirements regarding, e. g. sample size, dimensionality, completeness and underlying dependency structures. Real-world data often fails to meet the...

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