WorksheetsQuiz 4. Model Development
Total questions: 10
Worksheet time: 8mins
What is the purpose of the base model?
To test covariates
To estimate variability on bioavailability
To define the structural PK model and variability
True or False: You can still change the number of compartments after you’ve started covariate inclusion
True
False
What is the minimum drop in OFV required to consider a covariate significant at p < 0.05 during forward inclusion?
(a)
When are you most likely to apply allometric scaling?
During final model
During intermediate model
During base model
During complete model
True or False: AIC is used to compare non-nested models
True
False
What’s the rule of thumb when deciding when a covariate is adequately represented in your dataset?
At least 50% of the population must have it
You need at least 10 individuals per category
At least ~20% of the population should fall within the covariate group of interest
Covariates can always be tested, regardless of distribution
Which of the following would be appropriate for screening continuous covariates?
Boxplots
Correlation analysis
Chi-square test
What OFV increase corresponds to p < 0.01 during backward elimination?
10.83
3.84
6.63
Which of the following best describes the complete model?
Model with only continuous covariates
Model with all significant covariates
Model without covariates
Model after validation
What should the final model be used for?
Predicting drug concentrations
Performing dosing simulations
Dose optimisation
Supporting clinical interpretation and decision-making
