Results for

On using Simbiology, I am realizing how wonderful it is! It is equivalent and infact better than much commercial software available in the market for hefty prices (not to name anyone in purpose). Moreover, the product is backed up by the world leaders in software engineering - MATLAB (which gives more confidence to the product). It would be very helpful if someone can share the list or some of the PubMed indexed publication on population pharmacokinetics in which Simbiology is utilized for modeling and computation.

Identification of model (one compartment, two compartments or three compartments) which a drug follows is an important step before population pharmacokinetic modeling. I am aware that the graph between the concentration vs time, gives an idea of the number of compartment a drug follows.

But is there a standard way to explore and determine the number of compartment a drug follows in a more objective manner. This would also be helpful to determine the model in which the data needs to be fit. In addition, a note on determining the order of reaction is also welcomed and would make the discussion complete.

I use Simbiology for population PK-PD model development. During the model fitting of data, I understand that the model diagnostics play a major decisive role in selecting the suitable model. Hence would like to make it clear regarding the interpretation of the model diagnostics.

If for example, I have two models. First model: DFE= 411, LogLikelihood = - 807.6 (minus 807.6), AIC = 1633.2 , BIC = 1647.2 and RMSE = 1.92 Second model: DFE= 410, LogLikelihood = - 888.8 (minus 888.8), AIC = 1797.6 , BIC = 1813.2 and RMSE = 0.34 Which among the model is better and why? What are the individual interpretation of DFE, LogLikelihood, AIC, BIC and RMSE?

In PK-PD research paper generally, they take Objective Function value as decisive model diagnostics. What is the Objective Function Value in Simbiology? I did some literature search and found that Objective Function Value is -2 times LogLikelihood value? So should I multiply the LogLikelihood value given in Simbiology by - 2 to obtain Objective Function Value? Moreover, if the LogLikelihood value is multiplied with -2 then the entire interpretation will be changing (as minus will reverse the direction). So please guide in this regard and give your valuable inputs.