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Dear all, Please find below details of a forthcoming meeting at the Royal Statistical Society. The meeting is organised by the RSS primary health care study group and is open to anyone. There is no charge and no need to book. Sandra PRIMARY HEALTH CARE STUDY GROUP 20th October 2004 Royal Statistical Society, Errol St, London 2-5pm Discrete choice experiments and Raasch modelling TERRY FLYNN (Bristol University) Best-Worst Scaling - A new type of discrete choice modelling In eliciting patient preferences, statements like "Quality of care is far more highly valued than waiting time" can be neither refuted nor supported using traditional discrete choice modelling. Best-worst scaling overcomes such problems of estimating attribute importance. Its advantages will be illustrated with some preliminary simulation results showing its relative strengths. KERRY HOOD (University of Wales) First excursion into discrete choice experiments: a steep learning curve This talk will cover the first experiences of an applied statistician in DCE. It will cover the perceptions of initial simplicity through to some of the complexities of designing an experiment. The application is to the assessment of the components of a general practice consultation which patients rated most highly within a trial of shared decision making training for professionals. MASSIMO PENTA (Universite catholique de Louvain) Introduction to the Rasch measurement model Attributes of an individual, such as pain or ability are generally assessed through the individual's response to item questionnaires. However, the raw count of succeeded items is not proportional to the underlying individual attribute. The Rasch model formulates the requirements for quantitative comparisons of attributes and allows the measures to be expressed on a linear scale. Sandra Eldridge Centre for General Practice and Primary Care Institute of Community Health Sciences Barts and The London Queen Mary University of London Medical Sciences Building Mile End Road E1 4NS telephone 020 7882 7920 fax 020 7882 6396 e-mail [log in to unmask]