Hakan Demirtas, Ph.D.

2003 Pennsylvania State University, State College, PA, United States 
"Hakan Demirtas"


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Joseph L. Schafer grad student 2003 Penn State
 (Multiple imputation for nonignorable dropout using Bayesian pattern -mixture models.)
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Hedeker D, du Toit SHC, Demirtas H, et al. (2017) A note on marginalization of regression parameters from mixed models of binary outcomes. Biometrics
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
Hedeker D, Mermelstein RJ, Demirtas H, et al. (2016) A mixed-effects location-scale model for ordinal questionnaire data Health Services and Outcomes Research Methodology. 1-15
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
Demirtas H, Yavuz Y. (2015) Concurrent Generation of Ordinal and Normal Data. Journal of Biopharmaceutical Statistics. 25: 635-50
Ercan I, Karadeniz PG, Cangur S, et al. (2015) Examining of published articles with respect to statistical errors in medical sciences Uhod - Uluslararasi Hematoloji-Onkoloji Dergisi. 25: 130-138
Amatya A, Demirtas H. (2015) Ordnor: An R package for concurrent generation of correlated ordinal and normal data Journal of Statistical Software. 68
Amatya A, Demirtas H. (2015) MultiOrd: An R package for generating correlated ordinal data Communications in Statistics: Simulation and Computation. 44: 1683-1691
Amatya A, Demirtas H. (2015) Simultaneous generation of multivariate mixed data with Poisson and normal marginals Journal of Statistical Computation and Simulation. 85: 3129-3139
Jones RM, Stayner LT, Demirtas H. (2014) Multiple imputation for assessment of exposures to drinking water contaminants: evaluation with the Atrazine Monitoring Program. Environmental Research. 134: 466-73
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