ON MULTIVARIATE ANALYSES OF CROSSOVER DESIGNS

Using the Glm Procedure to Analyze Multivariate Response in Crossover Designs

The crossover design involves observing the same response variate under different experimental conditions for each subject, and as such, is a special case of a repeated measures or multivariate data structure. The general multivariate linear model provides a natural framework for analysis of such data because generalizations to more complex structures are feasible and follow the same rationale....

Eigenimages and multivariate analyses

Optimal Crossover Designs for the Proportional Model

In crossover design experiments, the proportional model, where the carryover effects are proportional to their direct treatment effects, has draw attentions in recent years. We discover that the universally optimal design under the traditional model is E-optimal design under the proportional model. Moreover, we establish equivalence theorems of Kiefer-Wolfowitz’s type for four popular optimalit...

Universal Optimality for Selected Crossover Designs

Hedayat and Yang earlier proved that balanced uniform designs in the entire class of crossover designs based on t treatments, n subjects, and pD t periods are universally optimal when n· t .t ¡ 1/=2. Surprisingly, in the class of crossover designs with t treatments and p D t periods, a balanced uniform design may not be universally optimal if the number of subjects exceeds t .t ¡ 1/=2. This art...

Case-crossover designs in occupational health.

T he case-crossover design has become an accepted method for investigating acute health consequences of transient exposures, or ‘‘triggers’’. This design, originally presented in 1991 by Maclure, can be thought of as a variant of the conventional casecontrol study with individual (pairwise) matching. The principal difference is that a case-crossover study only includes cases, where each serves ...