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I have a dataset with 4 IDs, each ID receives a different dose level, and doses are given daily during 4 weeks. I would like to fit the data to a model we already have, but I am not sure how to make the mapping between the IDs and the doses. Do we need to create as many rows as doses administered in the dataset (so doses from dataset can be used) or is there another way through variants, each variant receiving a different dose defined in the model? Thanks a lot for your help! Best, Zinnia

I can fit to individual dose data using pooled fiting or mixed effects no problem. However, for some compounds I have multiple doses and I wish to fit to these simultaneously to obtain a single parameter set. %% PREPARE MODEL gData = groupedData(data); gData.Properties.IndependentVariableName = 'Var1'; gData.Properties.GroupVariableName = 'Var3'; gData.Properties.VariableUnits = {'hour','nanogram/milliliter','',''}; gData.Properties; % One-Compartment Extravascular pkmd = PKModelDesign; pkc1 = addCompartment(pkmd,'Central'); pkc1.DosingType = 'FirstOrder'; pkc1.EliminationType = 'linear-clearance'; pkc1.HasResponseVariable = true; model = construct(pkmd); configset = getconfigset(model); configset.CompileOptions.UnitConversion = true; % Single dose dose = sbiodose('dose'); dose.TargetName = 'Dose_Central'; dose.StartTime = 0; dose.Amount = 75; dose.AmountUnits = 'milligram'; dose.TimeUnits = 'hour'; responseMap = {'Drug_Central = Var2'}; % Use NCA parameter estimates as initial parameter guess NCA.Central = mean(ncaparameters.V_z,'omitnan'); NCA.CL = mean(ncaparameters.CL,'omitnan'); NCA.ka = 1; paramsToEstimate = {'log(Central)','log(Cl_Central)','log(ka_Central)'}; % estimatedParams = estimatedInfo(paramsToEstimate,'InitialValue',[5e-4 1e-6 1],'Bounds',[1 5;0.5 2; 1e-3 10]); estimatedParams = estimatedInfo(paramsToEstimate,'InitialValue',[NCA.Central NCA.CL NCA.ka]); % Fit [Individual, Pooled, Mixed Effects] fitConst = sbiofit(model,gData,responseMap,estimatedParams,dose); pooledFit = sbiofit(model,gData,responseMap,estimatedParams,dose,'Pooled',true); Here is my code for 1 dose. The multiple dose data is in a table similar to the tutorial for phenobarbital, where the next dose and corresponding data follows the previous dose. I wish to do this using PK models and the sbiofit or similar commands that utilise simbiology. Please can someone shed some light on this? Cheers

Is it possible to administer two different dose objects (each one one to a different compartment) simultaneously using sbiosimulate in Simbiology? Or do I need to create a simulation scenario combining them. If so, could you share some code? Thanks a lot! Zinnia