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dc.contributor.authorJones, Robert A. (Robert Allen)en_US
dc.date.accessioned2009-10-06T23:59:01Z
dc.date.available2009-10-06T23:59:01Z
dc.date.issued1997en_US
dc.identifier.otherb38949945en_US
dc.identifier.other37672422en_US
dc.identifier.otheren_US
dc.identifier.urihttp://hdl.handle.net/1773/9554
dc.descriptionThesis (Ph. D.)--University of Washington, 1997en_US
dc.description.abstractA general multivariate model is proposed to analyze ABPM data obtained from multiple subjects in which two ABPM series, typically at baseline and on randomized therapy in a clinical trial, are obtained on each subject. The model is a specific formulation of the general repeated measures multivariate regression model in which the covariance matrix associated with each of the two ABPM profiles are associated equal and with unspecified structure. Exact maximum likelihood estimates of the unknown parameters and asymptotic properties for the case of no missing data are derived.Three methods to estimate the trough to peak ratio using ABPM data are examined in this dissertation. These include a method based on between subject time of day averages, the second method using a fitted Fourier curve using the repeated measures multivariate model, and a third simple Fourier regression model. Asymptotic properties of the three estimators are derived and compared, as well as a Monte Carlo simulation to determine finite sample properties.en_US
dc.format.extentviii, 217 p.en_US
dc.language.isoen_USen_US
dc.rightsCopyright is held by the individual authors.en_US
dc.rights.urien_US
dc.subject.otherTheses--Biostatisticsen_US
dc.titleA comparison of three trough to peak estimators derived from ambulatory blood pressure dataen_US
dc.typeThesisen_US


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