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hi my name is beth atkinson and iamp;#39;m a biostatistician at mayo clinic where iamp;#39;ve had the good fortune of working with terry thurno for a number of years iamp;#39;ve learned a lot about survival analysis from him and today i want to focus on additions to the survival package that allow users to analyze multi-state models using extensions of familiar functions first a reminder of what survival analysis is survival or time to event analysis focuses on specific type a specific type of longitudinal measurement where subjects are followed for a period of time until they have an event of interest or their follow-up is discontinued and they are considered censored because the event has not yet been observed the diagram on the left shows the follow-up first of patients from baseline until event where the dark circles indicate the event and the lines without the circles are censored special methodology is needed to analyze this data because of the censoring another way to