Key Terms: multiple comparisons procedure,
missing data, multiple imputation, balanced design, spherical model for
covariance, two-way mixed-effects repeated-measures model with interaction.
Missing data may render a multiple comparisons procedure
(MCP) ineffective. We will discuss methods for performing multiple
comparisons on treatment effects in the presence of missing data.
In particular, we will discuss the case of the two-way mixed-effects repeated-measures
model with interaction term. MCPs under this model challenge the
notion of a balanced design, and emphasize the need for imputation procedures
to preserve the underlying covariance structure (spherical model).
Ultimately, we will discuss the method of multiple imputation as both effective
and necessary for performing MCPs under a two-way mixed model with interaction.