Simulation driven inferences for multiply imputed longitudinal datasets
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DOI: 10.1111/j.1467-9574.2004.00271.x
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Cited by:
- Hakan Demirtas & Donald Hedeker, 2011. "Generating multivariate continuous data via the notion of nearest neighbors," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(1), pages 47-55.
- Leon, Andrew C. & Hedeker, Donald, 2007. "Quintile stratification based on a misspecified propensity score in longitudinal treatment effectiveness analyses of ordinal doses," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 6114-6122, August.
- Sarah Mustillo, 2012. "The Effects of Auxiliary Variables on Coefficient Bias and Efficiency in Multiple Imputation," Sociological Methods & Research, , vol. 41(2), pages 335-361, May.
- Yucel, Recai M. & Demirtas, Hakan, 2010. "Impact of non-normal random effects on inference by multiple imputation: A simulation assessment," Computational Statistics & Data Analysis, Elsevier, vol. 54(3), pages 790-801, March.
- 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, Springer, vol. 31(4), pages 1385-1401, December.
- Demirtas, Hakan, 2008. "On imputing continuous data when the eventual interest pertains to ordinalized outcomes via threshold concept," Computational Statistics & Data Analysis, Elsevier, vol. 52(4), pages 2261-2271, January.
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