Ventana software support forum

Thanks.
Let me try both ideas and see what happens.

I think this could be made quite easy in Vensim. - Create a flag for each driver, indicating whether treatment was received (a constant) or when it was received (time series) - Import the data for ALL drivers - Rewrite "fraction perceived" as something like = IF THEN ELSE( treatment, 1, b...

"fraction perceived" as something like = IF THEN ELSE( treatment, 1, base fraction perceived) I agree that fraction perceived (for control group)=1 starting from time=2 (which means my simulated intervention is switched on) and it would be base fraction at time=1 (which is 0.07, the model ...

I think I understood what you explained. There is something I'm trying to grasp here.
What do you mean by " Estimate parameters with all drivers pooled'? Calibration?

Yes the initial event rate was subscripted, I mean it was initial event rate[driver]. To be clear, I did not export the treatment group data into Vensim, so don't be thinking I had both sample data into Vensim. Forget about the treatment data for now. I'm sure you would have done differently what I ...

How can this be done in Vensim? My fear is my limited knowledge of Vensim. For the group I applied my simulated intervention to, I increased the fraction of events known to 100% starting from month=2 for each driver and recorded the simulated data into Excel for each driver. Then I used a statistica...

Another way to think about this is: The actual treatment was applied to a group of "good" drivers. They had a very low initial event rate. My simulation was applied to a group of "bad" drivers. They had a high initial event event rate. I would not expect the mean profiles of thes...

You are correct. But you would agree with me that the trajectory of the actual treatment response on a driver with an initial event rate of 0.5/mile would not be the same as the trajectory of the actual treatment response on a driver with an initial event rate of 0.1/mile. That's why in statistics, ...

I don't know if this is feasible in Vensim. I don't know if I used the right term for "offset" Basically let's say I have 2 drivers A and B with initial event rates of 0.1/mile and 0.5/mile respectively. Driver A received the actual treatment starting at Month 2 and I simulated the treatme...

It seems like if I offset this in the model, the 2 mean profiles will overlap. I guess

Dear, I applied my simulated driver feedback intervention to the model. I simply increased the fraction of events known to 100% for each driver and recorded the simulated intervention data. I compared the simulated data to the actual feedback intervention. I used a statistical model for the comparis...

Are there any cutoffs for the interpretation of the metrics? What can be considered high for MAPE?
I have a lot of undefined (NA) for the variable "events/month"

Thank you. Also thanks for the Sterman's paper, it is very helpful.

Thanks so much!
Is it approach to average each statistics across all subscripts to get a summary statistics?

I've upgraded to the new version.
Could you please help me with the interpretation?
I don't know if I need to do some computation to get the R-Square for each subscript.
What do RMSE, Um, Us, Uc, MAE, MAPE, MAEoM mean?

I thought I was using the last version. The 7 version has been downloaded recently. So I need to download the 7.1?

I'm using the version 7. Is there any other ways around?
Thanks

I've have been trying to make sense of the payoff report over the last several days, but I'm not getting it.
Do I need to do some computation to get the R-square or did I check the wrong box? Please help
Thanks

Sorry, but which file has the payoff report? I went through the different outputs generated from the model calibration and I did not see the payoff report file.
Thanks

The stat tools are showing means, median, std etc.; but I'm looking for model performance metrics (eg. R-squared). Please, see the file (summary statistics) I attached to you.
Thanks

Sorry, one more question.
I set the sensitivity to payoff value during the calibration (optimization) and I got the attached results. Are those confidence intervals around the parameter estimates 95%CI?
Thanks

Thanks Tomnfid.

Is it possible to obtain summary statistics from the current version of Vensim? See attached what I found online.

Thanks

The calibration results do not show standard errors around the estimates. Or where to find those standard errors?

Perfect! Thank you.

One more question. Can you share a help link I can follow to determine 95% confidence interval around parameters estimated from model calibration?

It says " the following inputs were not expected (but are used): cost of events, cost of treatment. Do you want to update the input list and modify the diagram" For decision rule on treatment, I specified: Treatment=if then else (cost of events<cost of treatment, 0, 1) I'm not sure this wa...