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Tuesday 19 October 1999 - 4pm, Room 102, Pearson Building Department of Statistical Science - University College London Speaker : Andrei Yakovlev - Huntsman Cancer Institute, University of Utah Title : Estimating cure rates from survival data In this presentation, we review modern nonparametric and parametric approaches to estimation of the probability of tumor cure from survival data with a special focus on their advantages and disadvantages. As far as parametric methods are concerned, a wide variety of shapes displayed by the hazard function can be described by a simple biologically motivated model which provides a good basis for estimating the probability of tumor cure. In addition to statistical issues, we present a spectrum of applications to the analysis of cancer survival data with long-term survivors. In particular, we discuss the controversial question of curability of breast cancer. The results obtained from the Utah Cancer Registry data and some other data sets strongly suggest that cure is a possible outcome of breast cancer treatment. Useful Web sites: The programme of our statistical seminars is available at: http://www.ucl.ac.uk/Stats/research/journals.html Map with instructions on how to get to our department: http://www.ucl.ac.uk/Stats/map.html Regards, Kostas Skouras ---------------------------------------------------------------------------- --------------- K. Skouras, Lecturer in Statistics, Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, United Kingdom. Tel: 0171-4193652 Fax: 0171-7383 4703 e-mail: [log in to unmask] ---------------------------------------------------------------------------- --------------- %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%