Aims of the thesis Sample Clauses

Aims of the thesis. Stratified medicine is the targeting of treatment to a person's specific characteristics. The overall aim of this thesis is to develop statistical methodology for the analysis of randomised clinical trial data, to better understand mechanisms underlying treatment effects as a platform for stratified medicine. The work is developed with the following methodological objectives:
Sample 1
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Aims of the thesis. ‌ The primary research objective was to compare the efficiency of two competing trial design options that address the problem of contamination and estimate efficacy. The comparison built on the work by Xxxxx-Xxxxx et al. (2007) by comparing similar design methods. The first option was cluster randomisation at the level at which contamination was expected (i.e. preventing any contamination) with an estimator of the effect of treatment receipt on outcome that accounted for clustered data. The second option was individual randomisation, acceptance that contamination would take place, measurement of treatment receipt for all participants, and use of a randomisation-based efficacy estimator of the effect of treatment on outcome within the subpopulation of compliers. I aimed to make the findings from the comparison of these design options accessible to those planning trials in the form of an online decision support tool. The secondary research objective was to summarise and develop randomisation-based estimators of efficacy in a randomised trial with contamination, where treatment receipt could be measured on a binary or continuous scale. Having collected individual treatment receipt data for participants in D6 as part of this research project, the second part of this objective was to apply these estimators to evaluate the efficacy of the D6 intervention. The tertiary research objective was to review the problems and solutions associated with contamination in mental health trials of complex interventions. The aims were to assess the processes driving contamination, the typical extent of the problem, what researchers do in order to mitigate it, and the quantity of contamination bias within trials that used both individual- and cluster-level randomisation.
Sample 1

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