Apologies since I am new to Matlab.
I have a model describing a drug-receptor system with multiple parameters. There are two different observables (binding , activity) for each drug. (I have separate but related equations for predicting the observables). The model has four parameters per drug and four system parameters that are shared for all drugs. I have datasets with a variable number of replicates for each observable (3 binding curves and one response curve per drug). I have data for 12 different drugs. I would appreciate some help setting up global nonlinear regression for all datasets to obtain best estimates of the drug specific and system specific (shared) parameters and their associated 95% confidence intervals. A general example that can handle this type of situation would be helpful to get me started.Apologies since I am new to Matlab.
I have a model describing a drug-receptor system with multiple parameters. There are two different observables (binding , activity) for each drug. (I have separate but related equations for predicting the observables). The model has four parameters per drug and four system parameters that are shared for all drugs. I have datasets with a variable number of replicates for each observable (3 binding curves and one response curve per drug). I have data for 12 different drugs. I would appreciate some help setting up global nonlinear regression for all datasets to obtain best estimates of the drug specific and system specific (shared) parameters and their associated 95% confidence intervals. A general example that can handle this type of situation would be helpful to get me started. Apologies since I am new to Matlab.
I have a model describing a drug-receptor system with multiple parameters. There are two different observables (binding , activity) for each drug. (I have separate but related equations for predicting the observables). The model has four parameters per drug and four system parameters that are shared for all drugs. I have datasets with a variable number of replicates for each observable (3 binding curves and one response curve per drug). I have data for 12 different drugs. I would appreciate some help setting up global nonlinear regression for all datasets to obtain best estimates of the drug specific and system specific (shared) parameters and their associated 95% confidence intervals. A general example that can handle this type of situation would be helpful to get me started. nonlinear regression, shared and not shared parameters, confidence intervals MATLAB Answers — New Questions

​