Analyzing incomplete longitudinal clinical trial data.

By Geert Molenberghs, Herbert Thijs, Ivy Jansen, Caroline Beunckens, Michael G. Kenward, C. Mallinckrodt, Raymond J. Carroll. Biostatistics, 2004

476 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/d325934265e498c5271b3691266ec4a5cea9110a

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Citations in the corpus

Multiple imputation as a flexible tool for missing data handling in clinical research. (2017, background): “However, methodological research has shown that this imputation scheme can either exaggerate or attenuate group differences, evenwhen the mechanism is MCAR (Cook, Zeng, & Yi, 2004; Liu & Gould, 2002; Mallinckrodt, Clark, & David, 2001; Molenberghs et al., 2004).”
Missing Data Imputation versus Full Information Maximum Likelihood with Second-Level Dependencies (2011, background): “There has been some work suggesting a Bayesian approach would be effective (Lavori, Dawson, & Shera, 1995) and that FIML works well in such cases (Molenberghs et al., 2004).”
kml and kml3d: R Packages to Cluster Longitudinal Data (2015, background): “The impact of the mechanism of missingness on the imputation of the missing values was examined by Molenberghs et al. (2004).”
Copy Mean: A New Method to Impute Intermittent Missing Values in Longitudinal Studies (2013, background): “[11] G. Molenberghs, H. Thijs, I. Jansen, C. Beunckens, M. Kenward, C. Mallinckrodt and R. Carroll, “Analyzing Incomplete Longitudinal Clinical Trial Data,” Biostatistics, Vol. 5, No. 3, 2004, pp. 445-464. doi:10.1093/biostatistics/kxh001 [12] J. Graham, S. Hofer and A. Piccinin, “Analysis with Miss”
Every missingness not at random model has a missingness at random counterpart with equal fit (2008, background): “E-mail: geert.molenberghs@uhasselt.be restoring balance and/or a rectangular data matrix, it is sufficiently documented that such analyses are prone to severe bias and/or losses of efficiency (Molenberghs et al., 2004; Jansen et al., 2006) and should be avoided.”