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Jonathan Kropko
Jonathan Kropko
Associate Professor of Data Science, University of Virginia
Подтвержден адрес электронной почты в домене virginia.edu
Название
Процитировано
Процитировано
Год
Interpretation and identification of within-unit and cross-sectional variation in panel data models
J Kropko, R Kubinec
PloS one 15 (4), e0231349, 2020
1772020
Choosing between multinomial logit and multinomial probit models for analysis of unordered choice data
J Kropko
The University of North Carolina at Chapel Hill, 2007
1762007
On the stationary distribution of iterative imputations
J Liu, A Gelman, J Hill, YS Su, J Kropko
Biometrika 101 (1), 155-173, 2014
1412014
Multiple imputation for continuous and categorical data: comparing joint multivariate normal and conditional approaches.
J Kropko, B Goodrich, A Gelman, J Hill
Political Analysis 22 (4), 2014
1182014
Simulating duration data for the Cox model
JJ Harden, J Kropko
Political Science Research and Methods 7 (4), 921-928, 2019
482019
Beyond the hazard ratio: generating expected durations from the cox proportional hazards model
J Kropko, JJ Harden
British Journal of Political Science 50 (1), 303-320, 2020
312020
Why the two-way fixed effects model is difficult to interpret, and what to do about it
J Kropko, R Kubinec
Kropko J, Kubinec R (2020) Interpretation and identification of within-unit …, 2018
312018
Epidemiology of drug use among biracial/ethnic youth and young adults: Results from a US population-based survey
TT Clark, AB Nguyen, J Kropko
Journal of psychoactive drugs 45 (2), 99-111, 2013
282013
Issue scales, information cues, and the proximity and directional models of voter choice
J Kropko, KK Banda
Political Research Quarterly 71 (4), 772-787, 2018
252018
coxed: duration-based quantities of interest for the Cox proportional hazards model
J Kropko, JJ Harden
R package version 0.3 3, 2020
162020
A comparison of three discrete choice estimators
J Kropko
Unpublished manuscript, 2010
152010
coxed: Duration-based quantities of interest for the Cox proportional hazards model. R package version 0.3. 3
J Kropko, JJ Harden
112020
Who’sa Directional Voter and Who’sa Proximity Voter? An Application of Finite Mixture Modeling to Issue Voting in the 2008 American Presidential Election
J Kropko
Political Methodology Conference, 2012
102012
New approaches to discrete choice and time-series cross-section methodology for political research
J Kropko
The University of North Carolina at Chapel Hill, 2011
92011
Choosing between multinomial logit and multinomial probit models for analysis of unordered choice data ((Doctoral dissertation, The University of North Carolina at Chapel Hill)
J Kropko
The University o f North Carolina at Chapel Hill, 2008
92008
Multiple imputation for continuous and categorical data: Comparing joint and conditional approaches
J Kropko, B Goodrich, A Gelman, J Hill
Columbia University, Department of Statistics. New York, 2013
82013
coxed: An R Package for Computing Duration-Based Quantities from the Cox Proportional Hazards Model.
J Kropko, JH Jeffrey
R J. 11 (2), 38, 2019
72019
Choosing Between Multinomial Logit and Multinomial Probit Models for Analysis of Unordered Choice Data, ProQuest
J Kropko
Ann Arbor, MI, 2007
72007
Measuring the Dynamics of Political Power: a Time-Series IRT Model. Presentation
J Kropko
Political Methodology Society, 2013
62013
Mathematics for social scientists
J Kropko
SAGE Publications, 2015
52015
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