Table of Contents Author Guidelines Submit a Manuscript

Advances in Statistical Medicine

Call for Papers

Methods in computation and mathematics have been extensively applied to problems arising from the biomedical sciences, especially when enormous data are being generated every day due to the emergence of the modern technologies such as RT-PCR, microarray, and next generation sequencing. The main focus of this special issue will be on the application of techniques typical of statistical modeling, bioinformatics, and computational biology domains to address problems in medicine. This special issue will become an international forum for researchers to summarize the most recent developments and ideas in these fields, with a special emphasis given to the technical and observational results obtained within the last five years. Potential topics include, but are not limited to:

  • Bioinformatics (including genomics and proteomics) with a focus on its clinical/medical applications
  • Biological network modeling (including gene regulatory networks and gene-protein and protein-protein interaction networks) and systems biology with a focus on their clinical/medical applications
  • Statistical genetics (including GWAS, QTL mapping, and pedigree analysis) with a focus on its clinical/medical applications
  • Survival analysis and quality-of-life issues
  • Analysis of medical images
  • Epidemiology of diseases and clinical observational studies
  • Comparative effectiveness research and patient-centered outcomes research

Before submission authors should carefully read over the journal’s Author Guidelines, which are located at Prospective authors should submit an electronic copy of their manuscript through the journal Manuscript Tracking System at according to the following timetable:

Manuscript DueFriday, 27 December 2013
First Round of ReviewsFriday, 21 March 2014
Publication DateFriday, 16 May 2014

Lead Guest Editor

  • Zhenyu Jia, Department of Statistics, University of Akron, Akron, OH 44325, USA

Guest Editors

  • Sujay Datta, Department of Statistics, University of Akron, Akron, OH 44325, USA
  • Xiao-Qin Xia, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
  • Samsiddhi Bhattacharjee, National Institute for Biomedical Genomics, Kalyani, West Bengal, India