H. Demirtas

发表

Learning With Technology: The Impact of Laptop Use on Student Achievement

James Cengiz Gulek, H. Demirtas, 2005 .

Analysis of binary outcomes with missing data: missing = smoking, last observation carried forward, and a little multiple imputation.

Donald Hedeker, Robin J Mermelstein, Hakan Demirtas, 2007, Addiction.

An Application of a Mixed‐Effects Location Scale Model for Analysis of Ecological Momentary Assessment (EMA) Data

D. Hedeker, R. Mermelstein, H. Demirtas, 2008, Biometrics.

A method for multivariate ordinal data generation given marginal distributions and correlations

H. Demirtas, 2006 .

Plausibility of multivariate normality assumption when multiply imputing non-Gaussian continuous outcomes: a simulation assessment

Hakan Demirtas, Recai M. Yucel, Sally Freels, 2008 .

Rounding Strategies for Multiply Imputed Binary Data

Hakan Demirtas, H. Demirtas, 2009, Biometrical journal. Biometrische Zeitschrift.

OrdNor: An R Package for Concurrent Generation of Correlated Ordinal and Normal Data

H. Demirtas, Anup Amatya, Anup K Amatya, 2015 .

A Comparative Study on Most Commonly used Correlated Binary Data Generation Methods

K. Kapur, D. Hedeker, H. Demirtas, 2008 .

The design of simulation studies in medical statistics by Andrea Burton, Douglas G. Altman, Patrick Royston and Roger L. Holder, Statistics in Medicine 2006; 25:4279–4292

H. Demirtas, 2007, Statistics in medicine.

Mixed data generation packages and related computational tools in R

H. Demirtas, R. Gao, 2020, Commun. Stat. Simul. Comput..

Gaussianization‐based quasi‐imputation and expansion strategies for incomplete correlated binary responses

Donald Hedeker, Hakan Demirtas, D. Hedeker, 2007, Statistics in medicine.

Pseudo-Random Number Generation In R For Commonly Used Multivariate Distributions

Hakan Demirtas, H. Demirtas, 2004 .

Concurrent Generation of Ordinal and Normal Data

Yasemin Yavuz, Hakan Demirtas, H. Demirtas, 2015, Journal of biopharmaceutical statistics.

Anatomy of Correlational Magnitude Transformations in Latency and Discretization Contexts in Monte-Carlo Studies

H. Demirtas, Ceren Vardar-Acar, 2017 .

Joint Generation of Binary, Ordinal, Count, and Normal Data with Specified Marginal and Association Structures in Monte-Carlo Simulations

Levent Özbek, H. Demirtas, G. Inan, 2017 .

A Note on the Relationship Between the Phi Coefficient and the Tetrachoric Correlation Under Nonnormal Underlying Distributions

H. Demirtas, 2016 .

Simulation of massive public health data by power polynomials

Donald Hedeker, Robin J Mermelstein, Hakan Demirtas, 2012, Statistics in medicine.

An imputation strategy for incomplete longitudinal ordinal data

Donald Hedeker, Hakan Demirtas, D. Hedeker, 2008, Statistics in medicine.

JMASM16: Pseudo-Random Number Generation In R For Some Univariate Distributions

H. Demirtas, 2005 .

A mixed ordinal location scale model for analysis of Ecological Momentary Assessment (EMA) data.

Donald Hedeker, Robin J Mermelstein, Hakan Demirtas, 2009, Statistics and its interface.

Multiple Imputation by Chained Equations: An Overview of Conceptual and Operational Aspects and Software: Review

J. Beaumont, H. Demirtas, 2013 .

Bias reduction with an adjustment for participants' intent to dropout of a randomized controlled clinical trial

D. Hedeker, A. Leon, H. Demirtas, 2007, Clinical trials.

ON THE PERFORMANCE OF RANDOM-COEFFICIENT PATTERN-MIXTURE MODELS FOR NONIGNORABLE ATTRITION

J. Schafer, H. Demirtas, 2002 .

Imputation under the generalized lambda distribution

H. Demirtas, 2007 .

Body mass index, percent body fat, and bone mass in a cohort of Chinese twins aged 6 to 18 years

Xiping Xu, H. Demirtas, Xue Liu, 2007 .

A note on marginalization of regression parameters from mixed models of binary outcomes

D. Hedeker, R. Gibbons, H. Demirtas, 2018, Biometrics.

Dual-energy X-ray absorptiometry and fracture prediction in patients with spinal cord injuries and disorders

L. Carbone, F. Weaver, H. Hoenig, 2017, Osteoporosis International.

Multiple Imputation under the Generalized Lambda Distribution

H. Demirtas, 2009, Journal of biopharmaceutical statistics.

Book Review: Applied longitudinal analysis

H. Demirtas, 2005 .

Multiple imputation for assessment of exposures to drinking water contaminants: evaluation with the Atrazine Monitoring Program.

Rachael M. Jones, L. Stayner, H. Demirtas, 2014, Environmental research.

Joint modeling of missing data due to non‐participation and death in longitudinal aging studies by K. B. Rajan and S. E. Leurgans, Statistics in Medicine 2010; 29:2260–2268

H. Demirtas, O. Harel, 2011, Statistics in medicine.

Subject‐level matching for imbalance in cluster randomized trials with a small number of clusters

D. Hedeker, A. Leon, H. Demirtas, 2013, Pharmaceutical statistics.

Concurrent generation of multivariate mixed data with variables of dissimilar types

H. Demirtas, Anup K Amatya, 2016, Journal of statistical computation and simulation.

Association of Serum Prolactin and Oxytocin With Milk Production in Mothers of Preterm and Term Infants

J. Aldag, H. Demirtas, R. Chatterton, 2009, Biological research for nursing.

Mood States and Milk Output in Lactating Mothers of Preterm and Term Infants

J. Aldag, H. Demirtas, R. Chatterton, 2006, Journal of human lactation : official journal of International Lactation Consultant Association.

A nonnormal look at polychoric correlations: modeling the change in correlations before and after discretization

H. Demirtas, Robab Ahmadian, Sema Atiş, 2016, Computational Statistics.

An application of Multiple Imputation under the Two Generalized Parametric Families

Hakan Demirtas, H. Demirtas, 2010, Journal of Data Science.

Multiple Imputation Under Power Polynomials

Donald Hedeker, Hakan Demirtas, D. Hedeker, 2008, Commun. Stat. Simul. Comput..

Imputing continuous data under some non‐Gaussian distributions

D. Hedeker, H. Demirtas, 2008 .

Efficacy of folic acid supplementation in stroke prevention: a meta-analysis

Xiping Xu, Li-sheng Liu, Jianping Li, 2007, The Lancet.

Two propensity score‐based strategies for a three‐decade observational study: investigating psychotropic medications and suicide risk

D. Hedeker, A. Leon, H. Demirtas, 2012, Statistics in medicine.

A distance-based rounding strategy for post-imputation ordinal data

Hakan Demirtas, H. Demirtas, 2010 .

Modeling between‐subject and within‐subject variances in ecological momentary assessment data using mixed‐effects location scale models

Donald Hedeker, Robin J Mermelstein, Hakan Demirtas, 2012, Statistics in medicine.

A semi-parametric approach for imputing mixed data

I. Helenowski, H. Demirtas, 2013 .

Assessment of Relative Improvement Due to Weights Within Generalized Estimating Equations Framework for Incomplete Clinical Trials Data

H. Demirtas, 2004, Journal of biopharmaceutical statistics.

Multiple Imputation as a Means to Assess Mammographic vs. Ultrasound Technology in Determining Breast Cancer Recurrence

I. Helenowski, H. Demirtas, F. Eladoumikdachi, 2014 .

A mixed-effects location-scale model for ordinal questionnaire data

D. Hedeker, R. Mermelstein, H. Demirtas, 2016, Health Services and Outcomes Research Methodology.

Bias and confounding in longitudinal measures of exhaled monoxides

H. Demirtas, P. Scheff, S. Dorevitch, 2007, Journal of Exposure Science and Environmental Epidemiology.

Bayesian Analysis of Hierarchical Pattern-Mixture Models for Clinical Trials Data with Attrition and Comparisons to Commonly Used Ad-Hoc and Model-Based Approaches

Hakan Demirtas, H. Demirtas, 2005, Journal of biopharmaceutical statistics.

Demolition of High-Rise Public Housing Increases Particulate Matter Air Pollution in Communities of High-Risk Asthmatics

Serap Erdal, Todd Schoonover, Samuel Dorevitch, 2006, Journal of the Air & Waste Management Association.

Homocysteine, B vitamins, and cardiovascular disease.

Xiping Xu, H. Demirtas, Xiaobin Wang, 2006, The New England journal of medicine.

Concurrent generation of binary and nonnormal continuous data through fifth-order power polynomials

Hakan Demirtas, H. Demirtas, 2017, Commun. Stat. Simul. Comput..

Bayesian Computation with R (2nd Edition)

Hakan Demirtas, H. Demirtas, 2017 .

On the performance of random‐coefficient pattern‐mixture models for non‐ignorable drop‐out

Joseph L Schafer, Hakan Demirtas, J. Schafer, 2003, Statistics in medicine.

Statistical Errors in Medical Publication

Hakan Demirtas, Ilker Ercan, I. Ercan, 2015 .

Modeling Incomplete Longitudinal Data

Hakan Demirtas, H. Demirtas, 2004 .

Regular Articles Modeling Incomplete Longitudinal Data

H. Demirtas, 2004 .

A semi-parametric approach to impute mixed continuous and categorical data

I. Helenowski, H. Demirtas, M. McGee, 2014, Health Services and Outcomes Research Methodology.

Hip joint moments in symptomatic vs. asymptomatic people with mild radiographic hip osteoarthritis.

S. Leurgans, N. Shakoor, H. Demirtas, 2019, Journal of biomechanics.

Multiple imputation under Bayesianly smoothed pattern‐mixture models for non‐ignorable drop‐out

Hakan Demirtas, H. Demirtas, 2005, Statistics in medicine.

A nonnormal look at polychoric correlations: modeling the change in correlations before and after discretization

Fatma Ezgi Can, Robab Ahmadian, Hakan Demirtas, 2016, Comput. Stat..

Computing the Point-biserial Correlation under Any Underlying Continuous Distribution

Donald Hedeker, Hakan Demirtas, D. Hedeker, 2016, Commun. Stat. Simul. Comput..

A Practical Way for Computing Approximate Lower and Upper Correlation Bounds

Donald Hedeker, Hakan Demirtas, D. Hedeker, 2011 .

Inverse association between rural environment in infancy and sensitization to rodents in adulthood.

H. Demirtas, S. Dorevitch, V. Persky, 2007, Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology.

The effects of the order of multiple imputation in subset analysis examining the association between body mass index (BMI) and transrectal ultrasound prostate weight

T. Kuzel, I. Helenowski, H. Demirtas, 2016 .

Joint Generation of Binary and Nonnormal Continuous Data

Hakan Demirtas, H. Demirtas, 2014 .

Simultaneous Generation of Binary and Normal Data with Specified Marginal and Association Structures

Hakan Demirtas, Beyza Doganay, H. Demirtas, 2012, Journal of biopharmaceutical statistics.

Inducing Any Feasible Level of Correlation to Bivariate Data With Any Marginals

H. Demirtas, 2018, The American Statistician.

Familial aggregation of food allergy and sensitization to food allergens: a family‐based study

H. Tsai, Rajesh Kumar, H. Demirtas, 2009, Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology.

BinNor: An R Package for Concurrent Generation of Binary and Normal Data

Anup Amatya, Hakan Demirtas, Beyza Doganay, 2014, Commun. Stat. Simul. Comput..

A Multiple Imputation Framework for Massive Multivariate Data of Different Variable Types: A Monte-Carlo Technique

Hakan Demirtas, H. Demirtas, 2017 .

Flexible Imputation of Missing Data

Hakan Demirtas, H. Demirtas, 2018 .

Performance of a propensity score adjustment in longitudinal studies with covariate‐dependent representation

D. Hedeker, A. Leon, H. Demirtas, 2012, Statistics in medicine.

Multiple Imputation Under Power Polynomials

D. Hedeker, H. Demirtas, 2008, Commun. Stat. Simul. Comput..

The International Journal of Biostatistics Defining Reproducibility Statistics as a Function of the Spatial Covariance Structures in Biomarker Studies

A. Rademaker, E. Vonesh, P. Gann, 2011 .

Repeated home drinking water sampling to improve detection of particulate lead spikes: a simulation study

W. Kelly, H. Demirtas, S. Dorevitch, 2023, Journal of exposure science & environmental epidemiology.

Simulation driven inferences for multiply imputed longitudinal datasets *

Hakan Demirtas, H. Demirtas, 2004 .

Optimal decision‐making in oncology development programs based on probability of success for phase III utilizing phase II/III data on response and overall survival

Meinhard Kieser, Hakan Demirtas, Heiko Götte, 2020, Pharmaceutical statistics.

Homocysteine, B vitamins, and cardiovascular disease.

Xiping Xu, H. Demirtas, Xiaobin Wang, 2006, The New England journal of medicine.