I n certain a r m of medical reeearch, the two-period CrOBBOVer deaign is a frequent choice for comparing treatmentsA and B in a randomized clinicel trial. Earlier work by Grizzle and by Brown WBB baaed upon a parametric theory linear model. Recenfly, the present authom employed D. R. Cox's additive
Crossover Designs with Random Periods
β Scribed by Prof. Dr. P. Roebruck
- Publisher
- John Wiley and Sons
- Year
- 1991
- Tongue
- English
- Weight
- 386 KB
- Volume
- 33
- Category
- Article
- ISSN
- 0323-3847
No coin nor oath required. For personal study only.
β¦ Synopsis
Crossover experiments usually are modelled with fixed treatment, carryover. and period effects while the effecta of subjects are assumed to be random. In actual realisations of crossover experiments however periods are quite arbitrary intervals of time, depending on administrative affairs for instance and possibly they are even varying front subject to subject. Modelling these arbitrary periods as random effectseither globally for d l subjects or individually for each one seems to be more adequate than theassumption of fixed period effects. This pnper is concerned with the two treatments, two periods crossover design. It is described that-in spite of the somewhat involved covariance structure-the estimators and tests developed for models with fixed period effects remain valid for models with random effects for periods provided that no treatmentxperiod interaction exists.
π SIMILAR VOLUMES
We show that the sensitivity to disorder of certain physical properties of periodic media depends on whether the disorder is truly random or not. This allows to utilize periodic media for testing sequences of random numbers and to quantify their departure from true randomness via simple transmission
In the analysis of a two-period cro88over study GBIZZLE (1965) suggeata that, if a preliminary k t for a period by treatment inbraction (residual effeot, carryover effect) fsignificant at the 10 o/o level, the direct effects of the treatments should be compared by performix$ a t -h t on the data fro