5th International Conference of the ERCIM WG on
COMPUTING & STATISTICS (ERCIM 2012)
1-3 December 2012, Conference Centre, Oviedo, Spain


Statistical Analysis of Event Times


Description:

Analysis of event times (also referred to as survival analysis) deals with data representing the time to a well-defined event. These data arise in engineering, economy, reliability, public health, biomedicine and other areas. One distinguishing feature of survival analysis is that it incorporates censored, truncated, and length-biased data. Another feature is the existence of time-dependent covariates. The main goals are to estimate the distribution of time-to-event for a group of individuals, to compare time-to-event among two or more groups, and to assess the relationship of covariates to event times. In multivariate survival analysis, one goal is the estimation of a multivariate distribution under censoring and/or truncation. In this setting, multi-state models are often used to represent the individual’s progress along time; important functions to estimate are the cause-specific hazard rate and distribution functions, the intensity functions, and the transition probabilities.

Focus:

The track is intended to be a meeting point to create a specialized subgroup Statistical Analysis of Event Times within the ERCIM Working Group on Computing & Statistics. Particular topics for contributions of this track are:



Co-Chairs: