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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

Missing Confounding Data in Marginal Structural Models: A Comparison of Inverse Probability Weighting and Multiple Imputation

Moodie, Erica; Delaney, Joseph; Lefebvre, Geneviève; … - In: International Journal of Biostatistics 4 (2008) 1, pp. 1106-1106

Standard statistical analyses of observational data often exclude valuable information from individuals with incomplete measurements. This may lead to biased estimates of the treatment effect and loss of precision. The issue of missing data for inverse probability of treatment weighted...

Persistent link: https://www.econbiz.de/10005246592

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

Addressing missing data in patient-reported outcome measures (PROMS) : implications for the Use of PROMS for comparing provider performance

Gomes, Manuel; Gutacker, Nils; Bojke, Chris; Street, Andrew - In: Health economics 25 (2016) 5, pp. 515-528

Persistent link: https://www.econbiz.de/10011541858

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

Missing(ness) in action : selectivity bias in GPS-based land area measurements

Kilic, Talip; Zezza, Alberto; Carletto, Calogero; … - In: World development : the multi-disciplinary … 92 (2017), pp. 143-157

Persistent link: https://www.econbiz.de/10011750478

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

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

Correcting for Bias due to Misclassification when Error-prone Continuous Exposures Are Misclassified

Keogh, Ruth H.; Strawbridge, Alexander D.; White, Ian - In: Epidemiologic Methods 1 (2012) 1, pp. 189-215

Abstract To investigate the association between a continuous exposure and an outcome it is common to categorize the exposure and estimate the relative associations between categories. Error in measurement of the continuous exposure results in misclassification when the exposure is categorized....

Persistent link: https://www.econbiz.de/10014590583

A knowledge management model for enhancing quality and performance of higher education institutions : insights from Oman

Al-Hemyari, Zuhair A. - In: International journal of quality and innovation 4 (2019) 1/2, pp. 99-119

Persistent link: https://www.econbiz.de/10012145384