In many longitudinal and multivariate settings, not all measurements planned are taken in actual practice. It is important to reflect on the nature and implications of such incompleteness, or missingness, and properly accommodate it in the modeling process.

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Incomplete Data in Clinical and Epidemiological Studies

  • Geert Molenberghs

摘要

In many longitudinal and multivariate settings, not all measurements planned are taken in actual practice. It is important to reflect on the nature and implications of such incompleteness, or missingness, and properly accommodate it in the modeling process.