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Nonmem when to add off-diagonal omega
Nonmem when to add off-diagonal omega








nonmem when to add off-diagonal omega nonmem when to add off-diagonal omega

NLME would therefore be advantageous compared to STS also for the study of cell-to-cell variation. This approach, called nonlinear mixed-effects modelling (NLME), makes use of all data, when estimating the patient-specific parameters. In contrast, a related approach to data analysis has been developed for the studies of patient-to-patient variations. Because only parts of the data are considered, problems with parameter unidentifiability are exaggerated in STS. In STS, data from each cell is analysed in a separate sub-problem, meaning that only data from the same cell is used to calculate the parameter values within that cell. The most common systems biology approach to single-cell data is the standard two-stage (STS) approach. Like much high-quality data, single-cell data is best analysed using a systems biology approach. Studies of cell-to-cell variation have in recent years grown in interest, due to improved bioanalytical techniques which facilitates determination of small changes with high uncertainty.










Nonmem when to add off-diagonal omega