Hakan Demirtas, Ph.D.
Affiliations: | 2003 | Pennsylvania State University, State College, PA, United States |
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"Hakan Demirtas"Parents
Sign in to add mentor| Joseph L. Schafer | grad student | 2003 | Penn State | |
| (Multiple imputation for nonignorable dropout using Bayesian pattern -mixture models.) | ||||
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Publications
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| Demirtas H, Gao R. (2020) Mixed data generation packages and related computational tools in R Communications in Statistics - Simulation and Computation. 1-44 |
| Demirtas H. (2018) Handbook of Fitting Statistical Distributions with R Journal of Statistical Software. 86 |
| Demirtas H. (2018) Flexible Imputation of Missing Data Journal of Statistical Software. 85: 1-5 |
| Demirtas H. (2018) Inducing Any Feasible Level of Correlation to Bivariate Data With Any Marginals The American Statistician. 73: 273-277 |
| Hedeker D, du Toit SHC, Demirtas H, et al. (2017) A note on marginalization of regression parameters from mixed models of binary outcomes. Biometrics |
| Amatya A, Demirtas H. (2016) Concurrent generation of multivariate mixed data with variables of dissimilar types. Journal of Statistical Computation and Simulation. 86: 3595-3607 |
| Hedeker D, Mermelstein RJ, Demirtas H, et al. (2016) A Mixed-effects Location-Scale Model for Ordinal Questionnaire Data. Health Services & Outcomes Research Methodology. 16: 117-131 |
| Amatya A, Demirtas H. (2016) Concurrent generation of multivariate mixed data with variables of dissimilar types Journal of Statistical Computation and Simulation. 1-13 |
| Demirtas H. (2016) A Note on the Relationship Between the Phi Coefficient and the Tetrachoric Correlation Under Nonnormal Underlying Distributions The American Statistician. 70: 143-148 |
| Demirtas H, Ahmadian R, Atis S, et al. (2016) A nonnormal look at polychoric correlations: modeling the change in correlations before and after discretization Computational Statistics. 1-17 |