Methods Reading Group

Semester: 

Spring

Offered: 

2020
January 14
  • First session. No readings.
January 21 January 28 February 18
  • Jeff Gill. "Monte Carlo Methods." 

  • Jonathon Homola and Jeff Gill. “A Flexible Class of Bayesian Frailty Models For Political Science Data.” (2019)

  • Jeff Gill. “Monte Carlo and Related Iterative Methods.” Chapter from Bayesian Methods: A Social and Behavioral Sciences Approach, Third Edition (2014)

February 25 March 3 March 31 April 14 April 21 April 28 May 5

2019 Topics:

  • 1/15: Principles of Inference and Testing
  • 1/22: Generalized Linear Models
  • 2/19: Green, K.M. and Stuart, E.A., 2014. Examining Moderation Analyses in Propensity Score Methods: Application to Depression and Substance Use. Journal of Consulting and Clinical Psychology, 82(5), p.773.
  • 2/26: Missing data
  • 4/2: Survival models
  • 4/9: Survival models (cont'd)
  • 4/16: King, G. and Roberts, M.E., 2015. How Robust Standard Errors Expose Methodological Problems They Do Not Fix, and What to Do About it. Political Analysis, 23(2), pp.159-179.
  • 4/30: Cranmer, S.J. and Desmarais, B.A., 2017. What Can We Learn from Predictive Modeling?. Political Analysis, 25(2), pp.145-166.