Pre-course/additional resources for attendees on Regression Models course methods@manchester Summer School 2026

Please note the following are a collection of resources that you may find useful before attending the methods@manchester Digital Methods Summer School course.

Bürkner, Paul (2017), brms: An R Package for Bayesian Multilevel Models Using Stan, Journal of Statistical Software, 80:1,  DOI10.18637/jss.v080.i01, pages 6 to 17.   Cowles, Mary (2015). Applied Bayesian Statistics. 1st ed. London:  Springer.   Dalgaard, Peter (2008) Introductory Statistics with R. NY:  Springer, URL https://link.springer.com/book/10.1007/978-0-387-79054-1.  Fox, John (2008), Applied Regression Analysis and Generalized Linear Models, London: Sage. Gelman and Hill, 2007, Data Analysis Using Regression and Multilevel/Hierarchical Models, Cambridge University Press.  Gelman,  Andrew, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, and Donald B. Rubin, 2013, Bayesian Data Analysis, 3rd ed., London:  CRC Press and Taylor & Francis.  Hox, J. J., Moerbeek, M., van de Schoot, R. (2018). Multilevel Analysis. New York: Routledge.  Muthén, B., and Tihomir Asparouhov (2009) “Multilevel Regression Mixture Analysis”, J. R. Statist. Soc. A 172:  3 , 639-657. Spiegelhalter, David J., Nicola Best, Bradley Carlin, and Angelika van der Linde (2002), Bayesian Measures Of Model Complexity And Fit, J. R. Statist. Soc. B (2002) 64,Part 4, pp. 583–639.  Stata Corp (2023) Stata Statistical Software: Release 18. College Station, TX: StataCorp LLC., section on mepoisson — Multilevel Mixed-Effects Poisson Regression, [online manual] URL https://www.stata.com/manuals/memepoisson.pdf, accessed Feb 2025.  Ward, M.D. and Ahlquist, J.S. (2018). Maximum Likelihood For Social Science: Strategies for analysis. Cambridge: Cambridge University Press.