Search Results - subject:"Multiple Imputation"

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 21 (2020) 5, pp. 717-728

Outcomes in economic evaluations, such as health utilities and costs, are products of multiple variables, often requiring complete item responses to questionnaires. Therefore, missing data are very common in cost-effectiveness analyses. Multiple imputations (MI) are predominately recommended and...

Persistent link: https://www.econbiz.de/10014504213

Multiple imputation of binary multilevel missing not at random data

Hammon, Angelina; Zinn, Sabine - In: Journal of the Royal Statistical Society: Series C … 69 (2020) 3, pp. 547-564

specification framework for multiple imputation. Concretely, we apply a censored bivariate probit model to describe binary variables …

Persistent link: https://www.econbiz.de/10012245081

Estimating Average Treatment Effects Utilizing Fractional Imputation when Confounders are Subject to Missingness

Corder, Nathan; Yang, Shu - In: Journal of Causal Inference 8 (2020) 1, pp. 249-271

, multiple imputation is commonly used; however, the method requires congeniality conditions for valid inferences, which may not … simulation study, we compare fractional imputation’s accuracy and precision with that of multiple imputation. …

Persistent link: https://www.econbiz.de/10014610891

Total error and variability measures for the quarterly workforce indicators and LEHD origin-destination employment statistics in OnTheMap

McKinney, Kevin L.; Green, Andrew S.; Vilhuber, Lars; … - 2020

Persistent link: https://www.econbiz.de/10012312994

Estimating regional wealth in Germany: How different are East and West really?

Kreutzmann, Ann-Kristin; Marek, Philipp; Salvati, Nicola; … - 2019

skewness of the wealth distribution using a transformation, b) unit and item non-response, especially the multiple imputation …

Persistent link: https://www.econbiz.de/10012101558

The impact of incomplete data on quantile regression for longitudinal data

Verhasselt, Anneleen; Flórez, Alvaro J.; Van Keilegom, … - 2019

Persistent link: https://www.econbiz.de/10012050922

Implications of missing-data imputation for survey data : an application to technology adoption

Gedikoglu, Haluk; Parcell, Joseph L. - In: International journal of food and agricultural … 7 (2019) 4, pp. 271-291

Persistent link: https://www.econbiz.de/10012267997

Hybrid multiple imputation in a large scale complex survey

Razzak, Humera; Heumann, Christian - In: Statistics in transition : an international journal of … 20 (2019) 4, pp. 33-58

, multiple imputation requires robust methods for modelling high-dimensional categorical data distributions. This paper … introduces the 3-stage Hybrid Multiple Imputation (HMI) approach, computationally efficient and easy to implement, to impute …

Persistent link: https://www.econbiz.de/10012158128

Estimating regional wealth in Germany : how different are East and West really?

Kreutzmann, Ann-Kristin; Marek, Philipp; Salvati, Nicola; … - 2019

skewness of the wealth distribution using a transformation, b) unit and item non-response, especially the multiple imputation …

Persistent link: https://www.econbiz.de/10012101276

Globalization spatial spillover effects and carbon emissions : what is the role of economic complexity?

Nan, Shijing; Huo, Yuchen; You, Wan-hai; Guo, Yawei - In: Energy economics 112 (2022), pp. 1-18

Persistent link: https://www.econbiz.de/10013350821