2 publications
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Published Subscription
Evaluation of Penalized Estimation Methods for Big Data AnalysisBy Md. Siddikur Rahman, Md. Mujibur Rahman, M. A. Matin
Abstract: In this paper we described the sparse Laplacian shrinkage (SLS) method which is a penalized method for variable selection and estimation in big data analysis that uses a combination of the minimax concave penalty (MCP) and Laplacian quadratic as the penalty. The SLS uses the MCP to promote sparsity and Laplacian quadratic penalty to encourage smoothness among coefficients associated with the correlated predictors. An important advantage of the MCP over …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 2, Issue 2, 2015 · pp. 49–55 Read article →
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Factors Associated with Recurrence of Diabetes Mellitus in Bangladeshi Patients: A Cox Proportional Hazard Modeling ApproachBy Md. Siddikur Rahman, Chinmoy Roy Rahul
Abstract: Diabetes Mellitus (DM) is a global health problem and increasing day by day all over the world, especially in Asian countries like Bangladesh. It is one of the most challenging public problems of the 21st century in Bangladesh. So in this study, we investigated the recurrence of diabetes among diabetes mellitus patients in Bangladesh through Cox Proportional hazard models. In this study, 43320 follow-up visits of 2934 patients at BIRDEM …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 5, Issue 2, 2015 · pp. 17–20 Read article →