Promises, pitfalls, and basic guidelines for applying machine learning classifiers to psychiatric imaging data, with autism as an example

Most psychiatric disorders are associated with subtle alterations in brain function and are subject to large inter-individual differences.Typically the diagnosis of these disorders requires time-consuming behavioral assessments administered by a multi-disciplinary team with extensive experience.Whilst the application of machine learning classificat

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Evaluating uncertainty: the impact of the sampling and assessment design on statistical inference in the context of ILSA

Abstract This paper informs users of data collected in international large-scale assessments (ILSA), by presenting argumentsunderlining the importance of considering two design features employed in these studies.We examine a commonmisconception stating that the uncertainty arising from the assessment design is negligible compared with that arisingf

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No Victor, No Vanquish in the Nigerian Civil War: Analysis of the Recurrent Biafra Separatist Agitation in Southeastern Nigeria

This paper examined the factors sustaining separatist agitation in southeastern Nigeria.This study sourced information from secondary materials.Twenty articles published between 2018 and 2023 were purposively and randomly gu502lv-bi7n8 selected from peer-reviewed and open-access journals through the Google search engine using the phrase Biafra sepa

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