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New Advances in Contemporary Survival Analysis

Call for Papers

Survival analysis deals with time-to-event data subject to censoring and/or truncation. It remains an active research area with complicated time-to-event data emerging in application areas including medicine, astronomy, and engineering. Several lines of research have been pursued in this area. First, multidimensional survival data have stimulated several modeling approaches, including the frailty model and robust inference for clustered data, competing risks and multistate analysis for multiple endpoints and transitions between states, and joint modeling of survival and longitudinal data. Second, time-to-event data in many real applications contain complicated incompleteness such as interval and double censoring. These have motivated the development of novel approaches for dealing with various types of incompleteness. Third, data exhibiting nonproportional hazards have inspired flexible modeling approaches such as additive hazards models and semiparametric transformation models. Finally, innovative modeling techniques have been developed to handle common practical problems like variable selection and missing covariates in survival data. This special issue aims to provide a forum for researchers to present new works in these directions. Authors are invited to submit original research and review articles that will stimulate interest in contemporary survival analysis.

Potential topics include, but are not limited to:

  • Joint modeling of longitudinal and survival data
  • Interval censored, doubly censored, or truncated survival data
  • Modeling survival data with missing covariates
  • Competing risks, cure rate analysis, and multistate models
  • Semiparametric transformation models
  • Multivariate survival analysis
  • Model selection in survival analysis
Manuscript DueFriday, 19 December 2014
First Round of ReviewsFriday, 13 March 2015
Publication DateFriday, 8 May 2015

Lead Guest Editor

Guest Editors

  • Lihong Qi, University of California, Davis, USA
  • Wenqing He, University of Western Ontario, London, Canada
  • Xu Zhang, University of Mississippi Medical Center, Jackson, USA
  • Ash Abebe, Auburn University, Auburn, USA