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:: Volume 19, Issue 2 (2-2015) ::
Andishe 2015, 19(2): 63-79 Back to browse issues page
Extension of Logic regression to Longitudinal data: Transition Logic Regression
Yadollah Mehrabi * , Parvin Sarbakhsh , Farid Zayeri , Maryam Daneshpour
Department of Epidemiology,School of Public Health, Shahid Beheshti University of Medical Sciences
Abstract:   (7696 Views)

Logic regression is a generalized regression and classification method that is able to make Boolean combinations
as new predictive variables from the original binary variables. Logic regression was introduced for case control or
cohort study with independent observations. Although in various studies, correlated observations occur due to different
reasons, logic regression have not been studied in theory and application to analyze of correlated observations
and longitudinal data.
Due to the importance of identifying and considering the interactions between variables in longitudinal studies,
in this paper we propose Transition Logic Regression as an extension of Logic Regression to binary longitudinal
data. AIC of the models are used as score function of Annealing algorithm. In order to assess the performance of
the method, simulation study is done in various conditions of sample size, first order dependency and interaction
effect. According to results of simulation study, by increasing the sample size, percentage of identification of true
interactions and MSE of estimations get better. As an application, we assess interaction effect of some SNPs on
HDL level over time in TLGS study using our proposed model.

Keywords: Logic Regression, Longitudinal study, Markov chain transition model, HDL, polymorphism.
Full-Text [PDF 196 kb]   (2923 Downloads)    
Type of Study: Research | Subject: General
Received: 2013/08/7 | Accepted: 2016/01/25 | Published: 2016/01/25
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Mehrabi Y, Sarbakhsh P, Zayeri F, Daneshpour M. Extension of Logic regression to Longitudinal data: Transition Logic Regression. Andishe 2015; 19 (2) :63-79
URL: http://andisheyeamari.irstat.ir/article-1-250-en.html


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Volume 19, Issue 2 (2-2015) Back to browse issues page
مجله اندیشه آماری Andishe _ye Amari
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