Meta-regression using a random effects model analysis was employed to explore the potential effect of moderators on study variables.
For this, an analytical solution derived from a kinetic model analysis was established, involving a population-based input function.
A kinetic model analysis was recently proposed to estimate the 18F-fluorodeoxyglucose (18F-FDG) integrated activity in an arbitrary tissue that uses tracer uptake and release rate constants.
Model analysis was performed by comparing the open-loop system step responses, which were obtained from the simulation and experiment respectively.
The mixed model analysis was conducted with the options of no compression and re-evaluation of the variances at each marker.
A model analysis was conducted to quantify the impact of the shift from monocentric structure to polycentric structure in Melbourne and Riyadh.
A univariate general linear model analysis was performed to assess the effects of sex, age, and their interaction on IPDS raw score.
Linear mixed model analysis was applied to adjust for confounding factors.
A univariate Cox model analysis was performed to estimate and test the prognostic influence of clinical and biological variables.
In order to adjust for age, gender, BMI a general linear model analysis was performed for each adipokine.
MDAPanc-28 model analysis was performed by intrasplenic injection into anesthetised mice (n = 8 per group) of exponentially growing 7×106 MP and M34 viable cells.
