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In addition, we took advantage of repeated measures analytic techniques to examine microbe-level factors influencing bacterial colonization while controlling for host factors.
We used a repeated measures analytic approach to compare sharing probabilities for respondents with respect to different topics and different "targets" defined as outside providers and public health, recognizing that responses to sharing questions are clustered at the individual level.
Using a repeated measures analytic approach, we calculated that a sample size of 120, assuming 15% loss to follow-up (i.e. effective sample size of 50 in each arm) and an intra-subject correlation of 0.2, will provide greater than 84% power to detect a 20% average difference in viral load suppression between the arms, given SAT viral suppression rates between 25%and40%0%.
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We have illustrated several ways of analysing repeated measures with both traditional analytic approaches using standard statistical packages, as well as recently developed statistical methods that will utilize all the vital features inherent in the data.
Alternative analytic approaches (e.g., repeated measures analyses) were examined to evaluate the consistency of our findings.
The proposed study adopts a randomized repeated measures pre-test/post-test design and our analytic plan reflects this design.
Although each patient could contribute multiple 30-day intervals to the analytic dataset, we did not adjust for repeated measures since each patient, per our study design, can only discontinue once.
Thus, it seems that repeated measures can be analysed in several meaningful ways with both traditional analytic approaches using standard statistical packages, as well as recently developed statistical methods that will utilize all the vital features inherent in the data.
The analytic strategy will also include methods for handling correlation of repeated measures, such as the Generalized Estimating Equations (GEE) method.
This model was selected over more traditional analytic approaches such as a change score, end-point, or repeated measures analysis of variance for several reasons.
Student's paired t-test was used for comparisons of analytic values during the two different experimental conditions in this study, whereas one-way analysis of variance for repeated measures was used to examine the differences in performance indexes and metabolite concentrations over time.
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