-
-
Slobogean, Gerard P., Greg Gaski, Jason Nascone, Marcus F. Sciadini, Roman Natoli, Theodore T. Manson, Christopher Lebrun, et al. “A Prospective Clinical Trial Comparing Surgical Fixation Versus Nonoperative Management of Minimally Displaced Complete Lateral Compression Pelvis Fractures”. Journal of Orthopaedic Trauma (2021, forthcoming)
-
Gill, Jeff. “Political Science Is A Data Science”. Journal of Politics 83, no. 1 (2021): 1-7
-
Gill, Jeff. “Measuring Constituency Ideology Using Bayesian Universal Kriging”. State Politics & Policy Quarterly 21, no. 1 (2021): 80-107
-
Generalized Linear Models: A Unified Approach
-
Gill, Jeff. “Generalized Linear Models: A Unified Approach”. SAGE QASS series, 2000
- Datasets from the book: Capital Punishment, Scottish Vote, Educational Testing, World Copper Prices, Committee Bill Assignments
- Incomplete Beta Function Table (Replication from Cox and Snell, 1968).
- S-Plus/R code for the examples.
- The Handout from my American Statistical Association (Boston chapter) Workshop. Contains lots of S-Plus/R code for GLMs.
- Data from the Workshop (useful for running the examples).
- Pat Altham’s Homepage (several useful guides to GLMs in S-Plus and R).
- Page for the Venables and Ripley book (includes GLM functions/code).
- SAS whitepapers, including fitting GLMs in SAS.
- Stata Help for GLMs.
- GLMLAB: A Generalized Linear Model Package for MATLAB by Peter Dunn at the Department of Mathematics and Computing, University of Southern Queensland (Australia).
- Check out Jim Lindsey’s books on GLIM Code.
- SAS Procs for running the book examples.
-
-
Slobogean, Gerard P., Greg Gaski, Jason Nascone, Marcus F. Sciadini, Roman Natoli, Theodore T. Manson, Christopher Lebrun, et al. “A Prospective Clinical Trial Comparing Surgical Fixation Versus Nonoperative Management of Minimally Displaced Complete Lateral Compression Pelvis Fractures”. Journal of Orthopaedic Trauma (2021, forthcoming)
-
Gill, Jeff. “Political Science Is A Data Science”. Journal of Politics 83, no. 1 (2021): 1-7
-
Gill, Jeff. “Measuring Constituency Ideology Using Bayesian Universal Kriging”. State Politics & Policy Quarterly 21, no. 1 (2021): 80-107
-