. Note this is the last formal seminar this academic session. CENTRE FOR MEDICAL STATISTICS SEMINAR SERIES on BIOSTATISTICS 1999/2000 NO 9: Wednesday, June 14th, 2000, at 2:30 pm Modelling Salamander Mating Data Using Importance Sampling by Dr. Jianxin Pan (Centre for Medical Statistics, Keele University) The salamander mating data arise from an experiment in which each female animal was paired with three males from her own population and with three males from another population. In the experiment, twenty female and twenty male animals were involved. The experiment was conducted three times using a pre-chosen design protocol and hence 360 dependent binary observations were generated. A primary objective of the experiment is to study the probability of a successful mating for each of the four combinations of gender and population, and to see if there exists heterogeneity among individual animals. Modelling the salamander mating data, however, is a challenging problem because the likelihood of the model involves a 360-dimensional integral which is analytically intractable. Laplace-based approximations such as penalized quasi-likelihood (PQL) approach lead to severely biased estimates and are not appropriate for modelling these data. In this talk, I present a new estimation technique which is not restricted by the dimension of the integral. The likelihood and its 1st- and 2nd-derivatives are calculated using importance sampling. Moreover, I consider how to chose an importance distribution for sampling and compare the findings with PQL and MCMC approaches. All welcome!! Venue: Room CBB0.004 Chancellor's Building - Extension (Bananna Wing) Keele University http://www.keele.ac.uk http://www.keele.ac.uk/depts/ma/seminars/medstats.html http://www.keele.ac.uk/university/campus/maps/camus.htm Best Gilbert _____________________________ Prof. Gilbert MacKenzie Director, Centre for Medical Statistics Keele University Staffordshire ST5 5BG England Tel: (01782) 583651 Fax: (01782) 584268 ______________________________ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%