Analysis of Schizophrenia Data Using A Nonlinear Threshold Index Logistic Model

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Analysis of Schizophrenia Data Using A Nonlinear Threshold Index Logistic Model

Genetic information, such as single nucleotide polymorphism (SNP) data, has been widely recognized as useful in prediction of disease risk. However, how to model the genetic data that is often categorical in disease class prediction is complex and challenging. In this paper, we propose a novel class...

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Bibliographic Details
Main Authors:	Jiang, Z., Du, C., Jablensky, A., Liang, H., Lu, Z., Ma, Y., Teo, Kok Lay
Format:	Journal Article
Published:	PLOS 2014
Online Access:	http://hdl.handle.net/20.500.11937/4219

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