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The Development of Circadian Rhythms in Human Infants

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Sleep data<br />

A further slope based analysis/l<strong>in</strong>ear analysis <strong>in</strong>vestigat<strong>in</strong>g rate <strong>of</strong> change <strong>of</strong> sleep<br />

parameters could be performed aga<strong>in</strong>st gestational and „developmental‟ age; as well<br />

as s<strong>in</strong>usoidal curve modell<strong>in</strong>g.<br />

Gene expression data<br />

<strong>The</strong> above methods were employed for gene expression data but are not reported on <strong>in</strong><br />

this thesis due to constra<strong>in</strong>ts <strong>of</strong> space. <strong>The</strong> use <strong>of</strong> S curve did not yield positive<br />

results. This was expected as the random effects modell<strong>in</strong>g showed no evidence <strong>of</strong><br />

<strong>in</strong>crease or decrease <strong>in</strong> gene expression with age.<br />

A secondary analysis <strong>of</strong> the genetic data would <strong>in</strong>volve study<strong>in</strong>g the changes <strong>in</strong> gene<br />

amplitude us<strong>in</strong>g ultradian rhythms (4, 6, 8, and 12 hourly) rather than changes over 24<br />

hours, to exam<strong>in</strong>e the strength <strong>of</strong> the rhythms. This would be followed by further<br />

work utilis<strong>in</strong>g the different amplitudes and R squared values <strong>in</strong> new random effects<br />

models.<br />

240

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