Multistate analysis is valuable for understanding and modelling life trajectories related to multiple social phenomena. It offers a way of formalizing complex demographic transitions (marriage, fertility, health/mortality, migration, occupation, etc.) into a single framework representing the life-courses of individuals and populations. This online workshop provides a gentle introduction to multistate models and their applications in demographic research. It introduces the use of dynamic microsimulation to create life histories for individuals within synthetic cohorts.
Contents: Introduce key concepts in multistate models (15 mins); discuss demographic applications of multistate and microsimulation models (20 mins); estimate MSLTs in practice (20 mins); introduce software for multistate analysis (15 mins); Q & A (20 mins)
Format: Zoom meeting with a Q&A session.
Target audience: Students/researchers seeking to deepen their knowledge on multistate and microsimulations models and their applications in demographic research. No prior knowledge about the topic is required.
Prerequisites: None, as the workshop will be a general introduction to multistate methods. However, familiarity with life tables and/or survival analysis would be good.
Software: The seminar will demonstrate materials in Excel and R but no software needs to be downloaded beforehand.
O’Donnell (2019). Does social housing reduce homelessness? A multistate analysis of housing and homelessness pathways. Housing Studies, https://doi.org/10.1080/02673037.2018.1549318
Putter, Fiocco, & Geskus (2006). Tutorial in biostatistics: competing risks and multi-state models. Statistics in Medicine, 26(11), 2,389-2,430. https://cran.r-project.org/web/packages/mstate/vignettes/Tutorial.pdf
Raymer et al. (2018). Multistate projections of Australia's Indigenous population. Vienna Yearbook of Population Research, 16, 135-162. https://www.jstor.org/stable/pdf/26670707.pdf
Schoen (1988). Practical uses of multistate population models. Annual Review of Sociology, 14, 341-361. https://www-jstor-org.virtual.anu.edu.au/stable/2083322
Steele et al. (2004). A general multilevel multistate competing risks model for event history data with an application to a study of contraceptive use dynamics. Statistical Modelling, 4(2), 145-159. https://journals.sagepub.com/doi/10.1191/1471082X04st069oa
The training workshop is offered free of charge.
Opening and welcome by Nico van Nimwegen, IUSSP Secretary General.