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2020 – today
- 2024
[j15]Ran Gao
, Hakan Demirtas:
CorrToolBox: an package for modeling correlational magnitude transformations in discretization contexts. Commun. Stat. Simul. Comput. 53(6): 2715-2728 (2024)- 2022
- [j14]Hakan Demirtas, Ran Gao:
Mixed data generation packages and related computational tools in R. Commun. Stat. Simul. Comput. 51(8): 4520-4563 (2022) - 2020
- [j13]Hesen Li, Hakan Demirtas, Ruizhe Chen:
RNGforGPD: An R Package for Generation of Univariate and Multivariate Generalized Poisson Data. R J. 12(2): 120 (2020)
2010 – 2019
- 2017
- [j12]Hakan Demirtas:
Concurrent generation of binary and nonnormal continuous data through fifth-order power polynomials. Commun. Stat. Simul. Comput. 46(1): 344-357 (2017) - [j11]Hakan Demirtas:
On accurate and precise generation of generalized Poisson variates. Commun. Stat. Simul. Comput. 46(1): 489-499 (2017) - [j10]Anup Amatya, Hakan Demirtas:
PoisNor: An R package for generation of multivariate data with Poisson and normal marginals. Commun. Stat. Simul. Comput. 46(3): 2241-2253 (2017) - 2016
- [j9]Hakan Demirtas, Donald Hedeker:
Computing the Point-biserial Correlation under Any Underlying Continuous Distribution. Commun. Stat. Simul. Comput. 45(8): 2744-2751 (2016) - [j8]Hakan Demirtas, Robab Ahmadian, Sema Atis, Fatma Ezgi Can, Ilker Ercan:
A nonnormal look at polychoric correlations: modeling the change in correlations before and after discretization. Comput. Stat. 31(4): 1385-1401 (2016) - 2015
- [j7]Anup Amatya, Hakan Demirtas:
MultiOrd: An R Package for Generating Correlated Ordinal Data. Commun. Stat. Simul. Comput. 44(7): 1683-1691 (2015) - 2014
- [j6]Hakan Demirtas, Anup Amatya, Beyza Doganay:
BinNor: An R Package for Concurrent Generation of Binary and Normal Data. Commun. Stat. Simul. Comput. 43(3): 569-579 (2014) - 2010
- [j5]Recai M. Yucel, Hakan Demirtas:
Impact of non-normal random effects on inference by multiple imputation: A simulation assessment. Comput. Stat. Data Anal. 54(3): 790-801 (2010)
2000 – 2009
- 2008
- [j4]Hakan Demirtas:
On imputing continuous data when the eventual interest pertains to ordinalized outcomes via threshold concept. Comput. Stat. Data Anal. 52(4): 2261-2271 (2008) - [j3]Hakan Demirtas, Donald Hedeker:
Multiple Imputation Under Power Polynomials. Commun. Stat. Simul. Comput. 37(8): 1682-1695 (2008) - 2007
- [j2]Hakan Demirtas, Lester M. Arguelles, Hwan Chung, Donald Hedeker:
On the performance of bias-reduction techniques for variance estimation in approximate Bayesian bootstrap imputation. Comput. Stat. Data Anal. 51(8): 4064-4068 (2007) - [j1]Hakan Demirtas:
Practical Advice on How to Impute Continuous Data When the Ultimate Interest Centers on Dichotomized Outcomes Through Pre-Specified Thresholds. Commun. Stat. Simul. Comput. 36(4): 871-889 (2007)
Coauthor Index
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