A mixed model with mouse as a blocking factor for repeated measures analysis was performed on contralateral limbs as repeated measurements within each mouse.
Repeated measures analysis was performed when data were measured by week.
The repeated measures analysis was more sensitive to early changes than the cross-sectional study analysis.
To answer the first subresearch question a repeated measures analysis was used (see Table 3 and Figs. 1 and 2).
For other discrete variables, the Pearson Chi-Square test and repeated measures analysis were used.
For this purpose repeated measures analysis was done using an unstructured covariance matrix to model within-subject correlation.
A repeated measures analysis was performed to identify factors associated with changes in BMI from baseline over the course of HIV infection (Table 3, Model 1).
A repeated measures analysis was conducted on the first six relative warp scores with the average family scores used as the dependent variables to determine if strain differences in morphological change existed over time.
The repeated measures analysis was done up to day 58, before any larva metamorphosed to prevent the distortion of test results by the reductions in mean sizes due to the removal of the usually larger emerged larvae.
In addition, a repeated measures analysis was performed.
