Article
Analysis of schizophrenia data using a nonlinear threshold index logistic model.
PloS one - 1 Jan 2014
Jiang Zhenyu, Du Chengan, Jablensky Assen, Liang Hua, Lu Zudi, Ma Yang, Teo Kok Lay
Abstract excerpt
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 of nonlinear threshold index logistic models to deal with the complex, nonlinear effects of categorical/discrete...
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