Outcomes for pooled population
REGRESSION
Changes in weight, BMI, and arm girth are shown in Table Changes in weight, BMI, and arm girth in pooled populationA mixed effects regression model was fit to the data to account for the repeated (non-independent) nature of the measurements for each participant over multiple timepoints. Random intercepts (but not random slopes) were included in the model specification. An autocorrelation structure (AR1) was used to account for single order correlations between timepoints. For each participant, the measures post baseline are likely dependent upon the preceding timepoint, while also allowing for the magnitude of the correlation to decline over time. A Tukey method was used to adjust the confidence intervals and The overall and domain scores of the LYMQOL ARM questionnaire are provided in Table LYMQOL ARM scores in pooled populationThe overall score is a single question with response ranging from 0 (poor) to 10 (excellent). The other items are scored on a 4-point scale with higher scores indicating worse QOL. Each domain score is the mean score of the items included in that domainA mixed effects regression model was fit to the data to account for the repeated (non-independent) nature of the measurements for each participant over multiple timepoints. Random intercepts (but not random slopes) were included in the model specification. An autocorrelation structure (AR1) was used to account for single order correlations between timepoints. For each participant, the measures post baseline are likely dependent upon the preceding timepoint, while also allowing for the magnitude of the correlation to decline over time. A Tukey method was used to adjust the confidence intervals and The LSIDS-A results (Table LSIDS-A scores in pooled populationSymptoms are indicated by yes/no answers; responses of “yes” are scored from 1 to 5 with higher scores indicating more severe symptomsA mixed effects regression model was fit to the data to account for the repeated (non-independent) nature of the measurements for each participant over multiple timepoints. Random intercepts (but not random slopes) were included in the model specification. An autocorrelation structure (AR1) was used to account for single-order correlations between timepoints. For each participant, the measures post baseline are likely dependent upon the preceding timepoint, while also allowing for the magnitude of the correlation to decline over time. A Tukey method was used to adjust the confidence intervals and The SF-36 scores results are presented in Table RAND SF-36 scores in pooled populationEach domain has a scale of 0 (maximum disability) to 100 (no disability), with higher scores indicating a more favorable health stateA mixed effects regression model was fit to the data to account for the repeated (non-independent) nature of the measurements for each participant over multiple timepoints. Random intercepts (but not random slopes) were included in the model specification. An autocorrelation structure (AR1) was used to account for single order correlations between timepoints. For each participant, the measures post baseline are likely dependent upon the preceding timepoint, while also allowing for the magnitude of the correlation to decline over time. A Tukey method was used to adjust the confidence intervals and 