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Multiple imputation of missing data for multilevel models : simulations and recommendations
Grund, Simon; Lüdtke, Oliver; Robitzsch, Alexander - In: Organizational research methods : ORM 21 (2018) 1, pp. 111-149
Persistent link: https://www.econbiz.de/10011880091
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Is the whole larger than the sum of its parts? : impact of missing data imputation in economic evaluation conducted alongside randomized controlled trials
Michalowsky, Bernhard; Hoffmann, Wolfgang; Kennedy, Kevin; … - In: The European journal of health economics : HEPAC ; … 21 (2020) 5, pp. 717-728
Persistent link: https://www.econbiz.de/10012422019
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The case for the use of multiple imputation missing data methods in stochastic frontier analysis with illustration using English local highway data
Stead, Alexander D.; Wheat, Phill - In: European journal of operational research : EJOR 280 (2020) 1, pp. 59-77
Persistent link: https://www.econbiz.de/10012132361
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EM and beyond
Rubin, Donald - In: Psychometrika 56 (1991) 2, pp. 241-254
Persistent link: https://www.econbiz.de/10005757776
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The impact of missing data in the estimation of concentration index: a potential source of bias
Zhong, Hai - In: The European Journal of Health Economics 11 (2010) 3, pp. 255-266
Persistent link: https://www.econbiz.de/10008486758
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Randomization-based inference about latent variables from complex samples
Mislevy, Robert - In: Psychometrika 56 (1991) 2, pp. 177-196
Persistent link: https://www.econbiz.de/10005184109
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Utilising Recent Advancements in Techniques for the Analysis of Incomplete Multivariate Data to Improve the Data Quality Management of Current Academic Research
Fogarty, David; Blake, John - In: Quality & Quantity: International Journal of Methodology 36 (2002) 3, pp. 277-289
Persistent link: https://www.econbiz.de/10009396890
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Efficient ways to impute incomplete panel data
Kleinke, Kristian; Stemmler, Mark; Reinecke, Jost; … - In: AStA Advances in Statistical Analysis 95 (2011) 4, pp. 351-373
Persistent link: https://www.econbiz.de/10009396973
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A cautionary case study of approaches to the treatment of missing data
Paul, Christopher; Mason, William; McCaffrey, Daniel; … - In: Statistical Methods and Applications 17 (2008) 3, pp. 351-372
Persistent link: https://www.econbiz.de/10005596316
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Multiple imputation of missing data with ante-dependence covariance structure
Zhang, Paul - In: Journal of Applied Statistics 32 (2005) 2, pp. 141-155
A controlled clinical trial was conducted to investigate the efficacy effect of a chemical compound in the treatment of Premenstrual Dysphoric Disorder (PMDD). The data from the trial showed a non-monotone pattern of missing data and an ante-dependence covariance structure. A new analytical...
Persistent link: https://www.econbiz.de/10005458244