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For the main outcome measures, a repeated measures generalized linear model (GLM) was used when considering measurements taken at different time points in a single patient.
Analyses employed repeated measures generalized linear models and non-parametric bootstrap re-sampling, controlling for patient characteristics.
Finally, for cost outcomes (e.g., all-cause physician office visits costs), repeated measures generalized linear models (GLMs) with a log-link function and gamma distribution were used.
To detect changes in Log2 transformed antibody levels, virus isolation, rectal temperatures, white blood cell counts, platelet counts, and body weights, a repeated measures generalized linear mixed model [Response = Group + Time (day) + Group * Day] was performed using an appropriate distribution function.
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A repeated-measures, generalized linear model was used to assess for group and training effects.
We used generalized estimating equations (GEEs) (Zeger and Liang 1986) to account for repeated measures in generalized linear models for lung function and prevalence of respiratory symptoms at each survey using PROC GENMOD (SAS Institute Inc., Cary, NC, USA).
Because of the pronounced skew of the work productivity, activity impairment, resource utilization, and indirect and indirect cost (continuous measures) metrics, generalized linear regression modeling was performed, specifying a negative binomial distribution with a log link function, which provided a robust fit to the data.
To evaluate the effect of Time, Group and Time per Group interaction on VAS and summated NRS, repeated-measures generalized linear models with generalized estimating equations were used, where data were assumed to distribute under the Log-Gamma, and the overdispersed Poisson probability functions, respectively.
Fold change of gene expression was determined using the 2 -ΔΔCt) method, and differences by tumor histology were measured using generalized linear models.
A repeated-measures generalized linear model (GLM) was used to assess the time interaction for ventilatory and oxygenation parameters during mechanical ventilation.
We analyzed the various performance measures using a generalized linear mixed model (GLMM), which correctly handled the repeated measures on each animal (Wolfinger and O'Connell 1993).
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