Missing data in longitudinal studies.

  title={Missing data in longitudinal studies.},
  author={Nan M. Laird},
  journal={Statistics in medicine},
  volume={7 1-2},
When observations are made repeatedly over time on the same experimental units, unbalanced patterns of observations are a common occurrence. This complication makes standard analyses more difficult or inappropriate to implement, means loss of efficiency, and may introduce bias into the results as well. Some possible approaches to dealing with missing data include complete case analyses, univariate analyses with adjustments for variance estimates, two-step analyses, and likelihood based… CONTINUE READING
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