Centre for Applied Social Surveys SHORT COURSE: EVENT HISTORY ANALYSIS: DISCRETE-TIME METHODS Supported by the ESRC Mac McDonald and Fiona Steele 16-18 September 1998 University of Southampton CASS is an ESRC Resource Centre hosted by SCPR and the University of Southampton, with the University of Surrey Course Objectives To provide a practical introduction to discrete-time methods for the analysis of event histories as applied to survey data To enable participants to analyse their own event history data using relevant software. Course Content Event histories and issues in their analysis Discrete-time approach to hazard modelling Data management for the analysis of event histories using SAS Modelling the time to a single event Competing risks for multiple types of event Multilevel models for modelling the times to recurrent events Models including unobserved heterogeneity The course will introduce the principles and practice of event history analysis for survey analysts using discrete-time models. These models include logit, multinomial logit models and multilevel versions of these models. Many illustrative examples taken from the instructors own research will be provided, especially their recent analyses of survey data. The course will have a strong practical emphasis, with regular computer-based workshop sessions at which the participants will work through examples and exercises using the Windows version of MLn. The workshops aim to provide practical experience in the preparation of data for a discrete-time event history analysis, model fitting and interpretation of results. The course will also discuss other software packages which could be used for discrete-time event history analysis, e.g. GLIM, SABRE, EGRET and BUGS as well as their advantages and disadvantages. Target Audience The course is aimed at researchers who need to model event history data, especially those in the social, economic and medical sciences. The methods to be taught will be useful for survey analysts who are dealing with surveys that have collected event histories (eg birth histories, employment histories etc). A good understanding of standard statistical methods of regression analysis and logistic models for binary responses will be assumed. some familiarity with event history analysis may be useful, but is not essential. Some familiarity with SAS and MLn is useful, but not essential. Participants are very welcome to bring their own datasets and will have the opportunity to speak to the instructors about their analysis. Participants intending to bring their own data should contact Rebecca Bundock well in advance of the course so that details of the appropriate data format can be supplied. Course Materials Participants will receive copies of overhead transparencies and handouts for the computer-based workshops. The Instructors John `Mac' McDonald is Senior Lecturer in Social Statistics at the University of Southampton. His general research interests are in demography and social statistics. Particular research interests include categorical data analysis and discrete-time event history models with unobserved heterogeneity. He has presented workshops on the analysis of social science data in several countries. Fiona Steele is a Lecturer in Statistics and Research Methodology at the London School of Economics. Her research interests are in the application of categorical data analysis, multilevel models and discrete-time event history models in demography. She has presented computer workshops on the multilevel analysis of categorical data using MLn to researchers from developing countries. Fee The standard fee is stlg240. Because of ESRC support, a number of bursaries are available which reduce the fee to stlg65. Applicants for bursaries must be full-time students, UK academic staff or ESRC-funded researchers. Location University of Southampton, Highfield, Southampton, SO17 1BJ. Telephone: 01703 593048. Duration The course will begin with registration and coffee at 10.30am 14 September and end at 12.30pm 16 September 1998. Participants are welcome to stay on after the end of the course to try out the methods they have learnt on their own data and/or to discuss with the instructors how to analyse their data. Background Reading A good understanding of standard methods of regression analysis and logistic models for binary responses will be assumed. A good textbook, covering all the background required, is: Hosmer, D.W. and Lemeshow, S. (1989) Applied Logistic Regression. Wiley. A more elementary account is provided by: Kleinbaum, D.G., Kupper, L.L. and Muller, K.E. (1997) Applied Regression Analysis and Multivariable Methods, 3rd Ed., Wadsworth. A 87 page introduction to event history analysis, which covers both discrete-time and continuous-time methods, is provided by: Allison, P.D. (1984) Event History Analysis. Sage. Accommodation Please indicate on the registration form if you would like to be sent details of local accommodation. Participants are left to book their own accommodation according to individual needs. Deadlines and Refunds Course places are limited and early completion of this form is recommended. Payment must be made by 7 days before the course. No refunds can be made for cancellations made later than 7 days before the start of the course. Event History Analysis: Discrete-time Methods 14-16 September 1998 Registration Form Please complete this form and return to: Rebecca Bundock Department of Social Statistics University of Southampton Southampton SO17 1BJ (Fax: 01703 593846 Tel: 01703 593048 E-mail: [log in to unmask]) Name: _______________________Title:__________________________ Affiliation: _________________________________________________________________ Address for Correspondence: ___________________________________________________ ______________________________________________________________________ _____________________________________________________________________ E-mail: __________________________________ Telephone:_________________________ Please indicate the nature of any data which you would like to bring to the course: ______________________________________________________________________ ______________________________________________________________________ Registration fee: stlg Either (1) Standard fee stlg240 ____________ OR (2) Reduced fee with ESRC bursary You must be a registered university student, UK academic staff or ESRC funded researcher stlg65 ____________ Please provide details: __________________________________ Please indicate either: Cheque enclosed payable to University of Southampton or Send invoice to: _______________________________________________ ______________________________________________ ______________________________________________ Any special dietary or other requirements: __________________________________________ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%