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Hakan Demirtas, Ph.D. - Publications

Affiliations: 
2003 Pennsylvania State University, State College, PA, United States 
Area:
Statistics
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58 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Demirtas H, Gao R. Mixed data generation packages and related computational tools in R Communications in Statistics - Simulation and Computation. 1-44. DOI: 10.1080/03610918.2020.1745841  0.311
2018 Demirtas H. Handbook of Fitting Statistical Distributions with R Journal of Statistical Software. 86. DOI: 10.18637/Jss.V086.B02  0.327
2018 Demirtas H. Flexible Imputation of Missing Data Journal of Statistical Software. 85: 1-5. DOI: 10.18637/Jss.V085.B04  0.36
2018 Demirtas H. Inducing Any Feasible Level of Correlation to Bivariate Data With Any Marginals The American Statistician. 73: 273-277. DOI: 10.1080/00031305.2017.1379438  0.388
2017 Hedeker D, du Toit SHC, Demirtas H, Gibbons RD. A note on marginalization of regression parameters from mixed models of binary outcomes. Biometrics. PMID 28426896 DOI: 10.1111/Biom.12707  0.389
2016 Amatya A, Demirtas H. Concurrent generation of multivariate mixed data with variables of dissimilar types. Journal of Statistical Computation and Simulation. 86: 3595-3607. PMID 27885310 DOI: 10.1080/00949655.2016.1177530  0.454
2016 Hedeker D, Mermelstein RJ, Demirtas H, Berbaum ML. A Mixed-effects Location-Scale Model for Ordinal Questionnaire Data. Health Services & Outcomes Research Methodology. 16: 117-131. PMID 27570476 DOI: 10.1007/S10742-016-0145-9  0.338
2016 Amatya A, Demirtas H. Concurrent generation of multivariate mixed data with variables of dissimilar types Journal of Statistical Computation and Simulation. 1-13. DOI: 10.1080/00949655.2016.1177530  0.355
2016 Demirtas H. A Note on the Relationship Between the Phi Coefficient and the Tetrachoric Correlation Under Nonnormal Underlying Distributions The American Statistician. 70: 143-148. DOI: 10.1080/00031305.2015.1077161  0.387
2016 Demirtas H, Ahmadian R, Atis S, Can FE, Ercan I. A nonnormal look at polychoric correlations: modeling the change in correlations before and after discretization Computational Statistics. 1-17. DOI: 10.1007/S00180-016-0653-7  0.375
2015 Demirtas H, Yavuz Y. Concurrent Generation of Ordinal and Normal Data. Journal of Biopharmaceutical Statistics. 25: 635-50. PMID 24906138 DOI: 10.1080/10543406.2014.920868  0.457
2015 Amatya A, Demirtas H. Ordnor: An R package for concurrent generation of correlated ordinal and normal data Journal of Statistical Software. 68. DOI: 10.18637/Jss.V068.C02  0.381
2015 Amatya A, Demirtas H. PoisNor: An R package for generation of multivariate data with Poisson and normal marginals Communications in Statistics - Simulation and Computation. 46: 2241-2253. DOI: 10.1080/03610918.2015.1039854  0.421
2015 Demirtas H. Concurrent generation of binary and nonnormal continuous data through fifth-order power polynomials Communications in Statistics - Simulation and Computation. 46: 344-357. DOI: 10.1080/03610918.2014.963613  0.452
2015 Amatya A, Demirtas H. MultiOrd: An R package for generating correlated ordinal data Communications in Statistics: Simulation and Computation. 44: 1683-1691. DOI: 10.1080/03610918.2013.824097  0.34
2015 Amatya A, Demirtas H. Simultaneous generation of multivariate mixed data with Poisson and normal marginals Journal of Statistical Computation and Simulation. 85: 3129-3139. DOI: 10.1080/00949655.2014.953534  0.438
2014 Helenowski IB, Demirtas H. Multiple imputation of continuous data via a semiparametric probability integral transformation. Journal of Biopharmaceutical Statistics. 24: 359-77. PMID 24605974 DOI: 10.1080/10543406.2013.860152  0.426
2014 Demirtas H. Joint Generation of Binary and Nonnormal Continuous Data Journal of Biometrics & Biostatistics. 2015. DOI: 10.4172/2155-6180.S12-001  0.46
2014 Demirtas H. Generating bivariate uniform data with a full range of correlations and connections to bivariate binary data Communications in Statistics - Theory and Methods. 43: 3574-3579. DOI: 10.1080/03610926.2012.700373  0.391
2014 Demirtas H. On accurate and precise generation of generalized Poisson variates Communications in Statistics - Simulation and Computation. 46: 489-499. DOI: 10.1080/03610918.2014.968725  0.397
2014 Demirtas H, Hedeker D. Computing the Point-biserial Correlation under Any Underlying Continuous Distribution Communications in Statistics - Simulation and Computation. 45: 2744-2751. DOI: 10.1080/03610918.2014.920883  0.38
2014 Demirtas H, Amatya A, Doganay B. BinNor: An r package for concurrent generation of binary and normal data Communications in Statistics: Simulation and Computation. 43: 569-579. DOI: 10.1080/03610918.2012.707725  0.353
2014 Helenowski IB, Demirtas H, McGee MF. A semi-parametric approach to impute mixed continuous and categorical data Health Services and Outcomes Research Methodology. 14: 183-193. DOI: 10.1007/S10742-014-0127-8  0.408
2013 Helenowski IB, Demirtas H. A semi-parametric approach for imputing mixed data Statistics and Its Interface. 6: 399-412. DOI: 10.4310/Sii.2013.V6.N3.A11  0.453
2012 Demirtas H, Hedeker D, Mermelstein RJ. Simulation of massive public health data by power polynomials. Statistics in Medicine. 31: 3337-46. PMID 22532052 DOI: 10.1002/Sim.5362  0.416
2012 Leon AC, Hedeker D, Li C, Demirtas H. Performance of a propensity score adjustment in longitudinal studies with covariate-dependent representation. Statistics in Medicine. 31: 2262-74. PMID 22495765 DOI: 10.1002/Sim.5332  0.382
2012 Hedeker D, Mermelstein RJ, Demirtas H. Modeling between-subject and within-subject variances in ecological momentary assessment data using mixed-effects location scale models. Statistics in Medicine. 31: 3328-36. PMID 22419604 DOI: 10.1002/Sim.5338  0.342
2012 Demirtas H, Doganay B. Simultaneous generation of binary and normal data with specified marginal and association structures. Journal of Biopharmaceutical Statistics. 22: 223-36. PMID 22251171 DOI: 10.1080/10543406.2010.521874  0.486
2011 Helenowski IB, Vonesh EF, Demirtas H, Rademaker AW, Ananthanarayanan V, Gann PH, Jovanovic BD. Defining reproducibility statistics as a function of the spatial covariance structures in biomarker studies International Journal of Biostatistics. 7. DOI: 10.2202/1557-4679.1128  0.364
2011 Demirtas H, Hedeker D. A practicalway for computing approximate lower and upper correlation bounds American Statistician. 65: 104-109. DOI: 10.1198/Tast.2011.10090  0.393
2011 Demirtas H, Hedeker D. Generating multivariate continuous data via the notion of nearest neighbors Journal of Applied Statistics. 38: 47-55. DOI: 10.1080/02664760903229260  0.446
2010 Yucel RM, Demirtas H. Impact of non-normal random effects on inference by multiple imputation: A simulation assessment. Computational Statistics & Data Analysis. 54: 790-801. PMID 20526424 DOI: 10.1016/J.Csda.2009.01.016  0.677
2010 Demirtas H. A distance-based rounding strategy for post-imputation ordinal data Journal of Applied Statistics. 37: 489-500. DOI: 10.1080/02664760902744954  0.462
2009 Hedeker D, Demirtas H, Mermelstein RJ. A mixed ordinal location scale model for analysis of Ecological Momentary Assessment (EMA) data. Statistics and Its Interface. 2: 391-401. PMID 20357914 DOI: 10.4310/Sii.2009.V2.N4.A1  0.406
2009 Demirtas H. Rounding strategies for multiply imputed binary data. Biometrical Journal. Biometrische Zeitschrift. 51: 677-88. PMID 19650057 DOI: 10.1002/Bimj.200900018  0.484
2009 Demirtas H. Multiple imputation under the generalized lambda distribution. Journal of Biopharmaceutical Statistics. 19: 77-89. PMID 19127468 DOI: 10.1080/10543400802527882  0.451
2009 Amatya A, Cursio J, Demirtas H, Doganay B, Morton D, Pugach O, Shi F. Accuracy versus convenience: A simulation-based comparison of two continuous imputation models for incomplete ordinal longitudinal clinical trials data Statistics and Its Interface. 2: 449-456. DOI: 10.4310/Sii.2009.V2.N4.A6  0.382
2009 Demirtas H. Multiple imputation for longitudinal data under a bayesian multilevel model Communications in Statistics - Theory and Methods. 38: 2812-2828. DOI: 10.1080/03610920902947162  0.403
2008 Demirtas H, Hedeker D. An imputation strategy for incomplete longitudinal ordinal data. Statistics in Medicine. 27: 4086-93. PMID 18338313 DOI: 10.1002/Sim.3239  0.378
2008 Hedeker D, Mermelstein RJ, Demirtas H. An application of a mixed-effects location scale model for analysis of Ecological Momentary Assessment (EMA) data. Biometrics. 64: 627-34. PMID 17970819 DOI: 10.1111/J.1541-0420.2007.00924.X  0.374
2008 Demirtas H, Hedeker D. Imputing continuous data under some non-Gaussian distributions Statistica Neerlandica. 62: 193-205. DOI: 10.1111/J.1467-9574.2007.00377.X  0.431
2008 Demirtas H, Freels SA, Yucel RM. Plausibility of multivariate normality assumption when multiply imputing non-Gaussian continuous outcomes: A simulation assessment Journal of Statistical Computation and Simulation. 78: 69-84. DOI: 10.1080/10629360600903866  0.675
2008 Demirtas H, Hedeker D. Multiple imputation under power polynomials Communications in Statistics: Simulation and Computation. 37: 1682-1695. DOI: 10.1080/03610910802101531  0.429
2008 Demirtas H. On imputing continuous data when the eventual interest pertains to ordinalized outcomes via threshold concept Computational Statistics and Data Analysis. 52: 2261-2271. DOI: 10.1016/J.Csda.2007.09.019  0.452
2007 Leon AC, Demirtas H, Hedeker D. Bias reduction with an adjustment for participants' intent to dropout of a randomized controlled clinical trial. Clinical Trials (London, England). 4: 540-7. PMID 17942469 DOI: 10.1177/1740774507083871  0.358
2007 Hedeker D, Mermelstein RJ, Demirtas H. Analysis of binary outcomes with missing data: missing = smoking, last observation carried forward, and a little multiple imputation. Addiction (Abingdon, England). 102: 1564-73. PMID 17854333 DOI: 10.1111/J.1360-0443.2007.01946.X  0.302
2007 Demirtas H, Hedeker D. Gaussianization-based quasi-imputation and expansion strategies for incomplete correlated binary responses. Statistics in Medicine. 26: 782-99. PMID 16596579 DOI: 10.1002/Sim.2560  0.411
2007 Demirtas H. 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. DOI: 10.1080/03610910701418424  0.459
2007 Demirtas H, Arguelles LM, Chung H, Hedeker D. On the performance of bias-reduction techniques for variance estimation in approximate Bayesian bootstrap imputation Computational Statistics and Data Analysis. 51: 4064-4068. DOI: 10.1016/J.Csda.2006.12.047  0.526
2006 Demirtas H. A method for multivariate ordinal data generation given marginal distributions and correlations Journal of Statistical Computation and Simulation. 76: 1017-1025. DOI: 10.1080/10629360600569246  0.413
2005 Demirtas H. Multiple imputation under Bayesianly smoothed pattern-mixture models for non-ignorable drop-out. Statistics in Medicine. 24: 2345-63. PMID 15977286 DOI: 10.1002/Sim.2117  0.399
2005 Demirtas H. Bayesian analysis of hierarchical pattern-mixture models for clinical trials data with attrition and comparisons to commonly used ad-hoc and model-based approaches. Journal of Biopharmaceutical Statistics. 15: 383-402. PMID 15920887 DOI: 10.1081/Bip-200056511  0.404
2005 Demirtas H. JMASM16: Pseudo-random number generation in R for some univariate distributions Journal of Modern Applied Statistical Methods. 4: 300-311. DOI: 10.22237/Jmasm/1114907220  0.357
2004 Demirtas H. Assessment of relative improvement due to weights within generalized estimating equations framework for incomplete clinical trials data. Journal of Biopharmaceutical Statistics. 14: 1085-98. PMID 15587981 DOI: 10.1081/Bip-200035493  0.357
2004 Demirtas H. Pseudo-random number generation in R for commonly used multivariate distributions Journal of Modern Applied Statistical Methods. 3: 485-497. DOI: 10.22237/Jmasm/1099268340  0.351
2004 Demirtas H. Modeling incomplete longitudinal data Journal of Modern Applied Statistical Methods. 3: 305-321. DOI: 10.22237/Jmasm/1099267500  0.372
2004 Demirtas H. Simulation driven inferences for multiply imputed longitudinal datasets Statistica Neerlandica. 58: 466-482. DOI: 10.1111/J.1467-9574.2004.00271.X  0.425
2003 Demirtas H, Schafer JL. On the performance of random-coefficient pattern-mixture models for non-ignorable drop-out. Statistics in Medicine. 22: 2553-75. PMID 12898544 DOI: 10.1002/Sim.1475  0.675
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