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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Yucel RM, Demirtas H. (2010) Impact of non-normal random effects on inference by multiple imputation: A simulation assessment. Computational Statistics & Data Analysis. 54: 790-801
Demirtas H. (2010) A distance-based rounding strategy for post-imputation ordinal data Journal of Applied Statistics. 37: 489-500
Demirtas H, Freels SA, Yucel RM. (2008) Plausibility of multivariate normality assumption when multiply imputing non-Gaussian continuous outcomes: A simulation assessment Journal of Statistical Computation and Simulation. 78: 69-84
Demirtas H, Hedeker D. (2008) Multiple imputation under power polynomials Communications in Statistics: Simulation and Computation. 37: 1682-1695
Demirtas H. (2008) On imputing continuous data when the eventual interest pertains to ordinalized outcomes via threshold concept Computational Statistics and Data Analysis. 52: 2261-2271
Demirtas H. (2007) Practical advice on how to impute continuous data when the ultimate interest centers on dichotomized outcomes through pre-specified thresholds Communications in Statistics: Simulation and Computation. 36: 871-889
Demirtas H, Arguelles LM, Chung H, et al. (2007) On the performance of bias-reduction techniques for variance estimation in approximate Bayesian bootstrap imputation Computational Statistics and Data Analysis. 51: 4064-4068
Demirtas H, Schafer JL. (2003) On the performance of random-coefficient pattern-mixture models for non-ignorable drop-out. Statistics in Medicine. 22: 2553-75
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