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Recai M. Yucel, Ph.D.

Affiliations: 
2000 Pennsylvania State University, State College, PA, United States 
Area:
Statistics, Mathematics
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"Recai Yucel"
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Joseph L. Schafer grad student 2000 Penn State
 (Computational tools for missing values in multivariate longitudinal and clustered data.)

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Publications

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Wu M, Yucel RM. (2019) Model-based inference on average causal effect in observational clustered data Health Services and Outcomes Research Methodology. 19: 36-60
Yucel RM, Zhao E, Schenker N, et al. (2017) Sequential Hierarchical Regression Imputation Journal of Survey Statistics and Methodology. 6: 1-22
Yucel R. (2017) Impact of the non-distinctness and non-ignorability on the inference by multiple imputation in multivariate multilevel data: a simulation assessment Journal of Statistical Computation and Simulation. 87: 1813-1826
Karakaya J, Karabulut E, Yucel RM. (2015) Sensitivity to imputation models and assumptions in receiver operating characteristic analysis with incomplete data. Journal of Statistical Computation and Simulation. 85: 3498-3511
Yucel RM. (2011) Random-covariances and mixed-effects models for imputing multivariate multilevel continuous data. Statistical Modelling. 11: 351-370
Yucel RM, He Y, Zaslavsky AM. (2011) Gaussian-based routines to impute categorical variables in health surveys. Statistics in Medicine. 30: 3447-60
He Y, Yucel R, Raghunathan TE. (2011) A functional multiple imputation approach to incomplete longitudinal data. Statistics in Medicine. 30: 1137-56
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
He Y, Yucel R, Zaslavsky AM. (2008) Misreporting, Missing Data, and Multiple Imputation: Improving Accuracy of Cancer Registry Databases. Chance (New York, N.Y.). 21: 55-58
Yucel RM. (2008) Multiple imputation inference for multivariate multilevel continuous data with ignorable non-response. Philosophical Transactions. Series a, Mathematical, Physical, and Engineering Sciences. 366: 2389-403
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