Sentence examples for mixed regression analysis from inspiring English sources
To examine the general trend of increased Xcc recovery with increasing dpt, nonlinear mixed regression analysis was used to fit a monomolecular model to relative Xcc recovery data.
Mixed regression analysis was performed for the following outcomes: bacteriological cure, pathogen cure, clinical cure, postevent milk production and linear score, and survival to d 30 and 60.
‡Interaction defined as "variable *time*response category" in longitudinal mixed regression analysis.
Due to an observed TCDD concentration-dependent effect on half-life with a transition point around 700 ppt, TCDD concentration was included as a categorical variable in a mixed regression analysis reflecting the slopes above and below the transition point.
To adjust for confounding effects of age, sex, and diabetes duration, multivariable mixed regression analysis was applied including a random term for treatment center in the model with Cholesky covariance structure.
In WHII, glucose, insulin, HOMA-IR and HOMA-B were compared using data from all phases using multi-level mixed regression analysis (random-intercept model), which takes into account the intra-individual correlation between repeated measurements and is not sensitive to missing values.
Table 3 summarizes the association between the different case-mix variables, the stages of endometriosis, and surgical outcomes, using the mixed model regression analysis (univariate and multivariate analysis).
Developmental trajectories were estimated using mixed model regression analysis.
Mixed model regression analysis with a random study effect was used evaluate the effects of experimental design on feed intake and milk production responses.
Mixed logistic regression analysis predicted PCR prevalence to be greatest in the 200 300 m altitude range with a mean spring–summer (time of highest vector activity) temperature of 18.4 19.0 °C.
Table 3 displays the results of the multi-level mixed effects regression analysis.
