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Einstein, measurement, and prediction

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Year: 2016
Type: letter
Source: Journal of Affective Disorders
DOI: 10.1016/j.jad.2016.12.016
Authors: Robert D. Gibbons, David G. Beiser, Edwin D. Boudreaux, David J. Kupfer
Institutions: University of Chicago, University of Pittsburgh
Language: English

Topic: Psychometric Methodologies and Testing
Subfield: Management Science and Operations Research
Field: Decision Sciences
Domain: Social Sciences
SDG: Good health and well-being

Open Access status: closed

Funders: National Institutes of Health, National Institute of Mental Health
Award: Harnessing Computerized Adaptive Testing, Transdiagnostic Theories of Suicidal Behavior, and Machine Learning to Advance the Emergent Assessment of Suicidal Youth (EASY).
OpenAlex ID: W2561269194
Cites: 5
Cited by:
Related to: 10
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