Bootstrapping repeated measures data (effect of trypanosomiasis on plasma luteinizing hormone level in female goats)
Abstract
This is a study on the effect of trypanosomiasis on plasma Luteinizing (LH) hormone level
in female goat Mixed model methodology and the bootstrap are used to analyse the repeated
measures data and to increase the power of the test, respectively. Here the analysis
of repeated measures had consideration for the correlation structure. The minimum value
of Akaike information Criteria from the model with mean structure "Treatment.' as the only
fixed effect, and compound symmetry as the covariance structure indicated the suitable
model. In order to increase the power of the test, cast' resampling bootstrap technique was
employed. This technique demonstrated an increase in the power such that a significant
difference in plasma LH level was revealed between the infected and non-infected female
goats. Hence bootstrapping can be used as a remedy for studies with small sample sizes. If
it were possible, the study could he redone with a bigger sample size and also adjusting for
covariates like age and parity. Such results could be generalized to a broader population
of animals.
Citation
Master of science in biometrySponsorhip
University of NairobiPublisher
School of Mathematics, University of Nairobi