Comparison Table
Bayesian vs. Frequentist Statistics
FrequentistBayesian
Answer givenProbability of the observed data given an underlying truthProbability of the truth given the observed data
Population parameterFixed, but unknownProb. distribution of values
Outcome measureProbability of extreme results, assuming null hypothesis (P value)Posterior probability of the hypothesis
WeaknessesLogical inconsistency with clinical decision-makingSubjectivity in priors' choice; complexity in PKPD modeling
StrengthsNo need for priors; well-known methodsConsistency with clinical decision-making
PKPD applicationGood estimates with large dataAdaptation 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] .

Potential Predictors of Body Fat - Data from Lohman, T, 1992
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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Footnotes

  1. Introna, Michele, et al, 2022