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Journal of Biopharmaceutical Statistics Volume 25, 2015 - Issue 4
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Original Articles

Concurrent Generation of Ordinal and Normal Data

Hakan DemirtasDivision of Epidemiology and Biostatistics, School of Public Health (MC923), University of Illinois at Chicago, Chicago, Illinois, USACorrespondence[email protected]
&
Yasemin YavuzDepartment of Biostatistics, Ankara University, Dekanlik Binasi, Sihhiye, Ankara, Turkey
Pages 635-650 | Received 12 Aug 2013, Accepted 20 Nov 2013, Published online: 09 Jun 2015

Citations (15)

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Read on this site (9)

H. Demirtas & R. Gao. (2022) Mixed data generation packages and related computational tools in R. Communications in Statistics - Simulation and Computation 51:8, pages 4520-4563.
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R. Gao & H. Demirtas. (2022) CorrToolBox: an package for modeling correlational magnitude transformations in discretization contexts. Communications in Statistics - Simulation and Computation 0:0, pages 1-14.
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Kuo-Jung Lee & Ray-Bing Chen. (2019) Bayesian variable selection in a finite mixture of linear mixed-effects models. Journal of Statistical Computation and Simulation 89:13, pages 2434-2453.
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Hakan Demirtas. (2019) Inducing Any Feasible Level of Correlation to Bivariate Data With Any Marginals. The American Statistician 73:3, pages 273-277.
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Alessandro Barbiero & Pier Alda Ferrari. (2017) An R package for the simulation of correlated discrete variables. Communications in Statistics - Simulation and Computation 46:7, pages 5123-5140.
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Hakan Demirtas. (2017) Concurrent generation of binary and nonnormal continuous data through fifth-order power polynomials. Communications in Statistics - Simulation and Computation 46:1, pages 344-357.
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Anup Amatya & Hakan Demirtas. (2016) Concurrent generation of multivariate mixed data with variables of dissimilar types. Journal of Statistical Computation and Simulation 86:18, pages 3595-3607.
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Hakan Demirtas. (2016) A Note on the Relationship Between the Phi Coefficient and the Tetrachoric Correlation Under Nonnormal Underlying Distributions. The American Statistician 70:2, pages 143-148.
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Jennifer Koran, Todd C. Headrick & Tzu Chun Kuo. (2015) Simulating Univariate and Multivariate Nonnormal Distributions through the Method of Percentiles. Multivariate Behavioral Research 50:2, pages 216-232.
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Articles from other publishers (6)

Alessandro Barbiero. (2021) Inducing a desired value of correlation between two point-scale variables: a two-step procedure using copulas. AStA Advances in Statistical Analysis 105:2, pages 307-334.
Crossref
Hakan Demirtas. 2017. Monte-Carlo Simulation-Based Statistical Modeling. Monte-Carlo Simulation-Based Statistical Modeling 143 162 .
Hakan Demirtas & Ceren Vardar-Acar. 2017. Monte-Carlo Simulation-Based Statistical Modeling. Monte-Carlo Simulation-Based Statistical Modeling 59 84 .
Hakan Demirtas, Rawan Allozi, Yiran Hu, Gul Inan & Levent Ozbek. 2017. Monte-Carlo Simulation-Based Statistical Modeling. Monte-Carlo Simulation-Based Statistical Modeling 3 15 .
Hakan Demirtas, Robab Ahmadian, Sema Atis, Fatma Ezgi Can & Ilker Ercan. (2016) A nonnormal look at polychoric correlations: modeling the change in correlations before and after discretization. Computational Statistics 31:4, pages 1385-1401.
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Irene B. Helenowski, Hakan Demirtas & Michael F. McGee. (2014) A semi-parametric approach to impute mixed continuous and categorical data. Health Services and Outcomes Research Methodology 14:4, pages 183-193.
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