Jeff Gill
Jeff Gill
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TitleCited byYear
Bayesian Methods: A Social and Behavioral Sciences Approach, Third Edition
J Gill
Chapman and Hall/CRC, 2014
Bayesian Methods: A Social and Behavioral Sciences Approach, Second Edition
J Gill
Chapman and Hall/CRC, 2007
Penalized regression, standard errors, and Bayesian lassos
M Kyung, J Gill, M Ghosh, G Casella
Bayesian Analysis 5 (2), 369-411, 2010
Generalized Linear Models
J Gill
Encyclopedia of Social Science Research Methods, 2003
The insignificance of null hypothesis significance testing
J Gill
Political research quarterly 52 (3), 647-674, 1999
pwr: Basic functions for power analysis
S Champely, C Ekstrom, P Dalgaard, J Gill
R package version 1 (1), 665, 2015
Public administration research and practice: A methodological manifesto
J Gill, KJ Meier
Journal of Public Administration Research and Theory 10 (1), 157-199, 2000
Numerical issues in statistical computing for the social scientist
M Altman, J Gill, MP McDonald
John Wiley & Sons, 2004
The effects of turnout on partisan outcomes in US presidential elections 1960–2000
MD Martinez, J Gill
The Journal of Politics 67 (4), 1248-1274, 2005
Elicited Priors for Bayesian Model Specifications in Political Science Research
J Gill, LD Walker
Journal of Politics 67 (3), 841-872, 2005
Effect of implementation of a paediatric neurocritical care programme on outcomes after severe traumatic brain injury: a retrospective cohort study
JA Pineda, JR Leonard, IG Mazotas, M Noetzel, DD Limbrick, MS Keller, ...
The Lancet Neurology 12 (1), 45-52, 2013
Circular data in political science and how to handle it
J Gill, D Hangartner
Political Analysis 18 (3), 316-336, 2010
What to do when your Hessian is not invertible: Alternatives to model respecification in nonlinear estimation
J Gill, G King
Sociological methods & research 33 (1), 54-87, 2004
What works: A new approach to program and policy analysis
K Meier
Routledge, 2018
An entropy measure of uncertainty in vote choice
J Gill
Electoral Studies 24 (3), 371-392, 2005
Essential mathematics for political and social research
J Gill
Cambridge University Press, 2006
Is partial-dimension convergence a problem for inferences from MCMC algorithms?
J Gill
Political Analysis 16 (2), 153-178, 2008
Whose variance is it anyway? Interpreting empirical models with state-level data
J Gill
State Politics & Policy Quarterly 1 (3), 318-338, 2001
We have to be discrete about this: A non-parametric imputation technique for missing categorical data
SJ Cranmer, J Gill
British Journal of Political Science 43 (2), 425-449, 2013
Estimation in Dirichlet random effects models
M Kyung, J Gill, G Casella
The Annals of Statistics 38 (2), 979-1009, 2010
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