Open Journal of Statistics
Vol.6 No.3(2016), Paper ID 67590, 13
pages
DOI:10.4236/ojs.2016.63042
Transition Logic Regression Method to Identify Interactions in Binary Longitudinal Data
Parvin Sarbakhsh, Yadollah Mehrabi, Jeanine J. Houwing-Duistermaat, Farid Zayeri, Maryam Sadat Daneshpour
Department of Statistics and Epidemiology, School of Public Health, Tabriz University of Medical Sciences,
Tabriz, Iran
Department of Epidemiology, School of Public Health, Shahid Beheshti University of Medical Sciences,
Tehran, Iran
Department of Medical Statistics and Bioinformatics, Leiden University Medical Centre, Leiden, Netherlands
Department of Biostatistics, School of Paramedicine, Shahid Beheshti University of Medical Sciences,
Tehran, Iran
Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences,
Shahid Beheshti University of Medical Sciences, Tehran, Iran
Copyright © 2016 Parvin Sarbakhsh, Yadollah Mehrabi, Jeanine J. Houwing-Duistermaat, Farid Zayeri, Maryam Sadat Daneshpour et al. This is
an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any
medium, provided the original work is properly cited.
How to Cite this Article
Sarbakhsh, P. , Mehrabi, Y. , Houwing-Duistermaat, J. , Zayeri, F. and Daneshpour, M. (2016) Transition Logic Regression Method to Identify Interactions in Binary Longitudinal Data.
Open Journal of Statistics,
6, 469-481. doi:
10.4236/ojs.2016.63042.