Comments (1)
Hi Michiel,
I think your strategy makes sense. Adding samples will always give more information and you will then need to determine when you are satisfied with the amount of information. As you suggest, using a cutoff level for OFV, efficiency or RSE of certain parameters may be appropriate, and will be case specific I believe.
Andrew
from poped.
Related Issues (20)
- Plotting optimized output seems to used wrong times HOT 1
- Where is the optimization parallelized HOT 3
- unused argument in plot_model_prediction() HOT 2
- parallel computation for plot_efficiency_of_windows() HOT 4
- problem with tests run by AppVeyor HOT 2
- Warning "Problems inverting the matrix. Results could be misleading." HOT 2
- Different results when running the optimization R-script in popED in Windows and Mac HOT 2
- Integrating an IV loading dose followed by SC maintenance dose using popEd HOT 1
- Illogical OFV when xts have a lot of significant digits HOT 2
- D-optimal Design for a trial comparing three different drugs
- Design Evaluation when No. of subjects change towards the end of trial HOT 6
- Gradient function HOT 2
- Handling derived outputs
- `evaluate_fim_map` documentation
- Error in svd(mat) : infinite or missing values in 'x'
- Define a model with lag time HOT 4
- Take an example of the pk.3.comp.olal.ode model
- multiple dose full TMDD model in POPED HOT 3
- Two questions HOT 3
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