Frequentist | Bayesian | |
---|---|---|
Answer given | Probability of the observed data given an underlying truth | Probability of the truth given the observed data |
Population parameter | Fixed, but unknown | Prob. distribution of values |
Outcome measure | Probability of extreme results, assuming null hypothesis (P value) | Posterior probability of the hypothesis |
Weaknesses | Logical inconsistency with clinical decision-making | Subjectivity in priors' choice; complexity in PKPD modeling |
Strengths | No need for priors; well-known methods | Consistency with clinical decision-making |
PKPD application | Good estimates with large data | Adaptation of data to individuals |
(Introna, Michele, et al, 2022)1
The data is on the percent body fat for 252 adult males, where the objective is to describe 13 simple body measurements in a multiple regression model; the data was collected from Lohman, T, 1992[^3] .
1. Age (years) | 8. Thigh (cm) |
2. Weight (pounds) | 9. Knee (cm) |
3. Height (inches) | 10. Ankle (cm) |
4. Neck (cm) | 11. Extended biceps (cm) |
5. Chest (cm) | 12. Forearm (cm) |
6. Abdomen (cm) | 13. Wrist (cm) |
7. Hip (cm) |
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