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Antonioli D | OMICS International
ISSN: 2380-5439

Journal of Health Education Research & Development
Open Access

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Antonioli D


Abilities of Statistical Models to Identify Subjects with Ghost Prognosis Factors

Background Many tools are available to estimate prediction quality, but none are available to assess the ability, of a predictive model to identify completely missing or unknown prognostic factors, designated as ghost factors (GFs). However, it may be possible to predict whether a subject carries a GF. Methods To simulate the presence of a GF, ... Read More»

Nguyen JM, Gaultier A and Antonioli D

Research Article: J Health Edu Res Dev 2015, 3: 141

DOI: 10.4172/2380-5439.1000141

Abstract Peer-reviewed Full Article Peer-reviewed Article PDF