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The application of extreme value theory to pharmacometrics.
- Source :
-
Journal of pharmacokinetics and pharmacodynamics [J Pharmacokinet Pharmacodyn] 2021 Feb; Vol. 48 (1), pp. 83-97. Date of Electronic Publication: 2020 Oct 09. - Publication Year :
- 2021
-
Abstract
- Clinical trials are often analyzed by examining the means, e.g., what is the mean treatment effect or what is the mean treatment difference, but there are times when analysis of the maximums (or minimums) are of interest. For instance, what is the highest heart rate that could be observed or what the smallest treatment effect that could be expected? While inference on the means is based on the central limit theorem, the corresponding theorem for maximums or minimums is the Fisher-Tippett theorem, also called the extreme value theorem (EVT). This manuscript will introduce EVT to pharmacometricians, particularly block maxima analysis and peak over threshold analysis, and provide examples for how it can be applied to pharmacometric data, particularly the analysis of pharmacokinetics and ECG safety data, like QTcF intervals.
- Subjects :
- Acetanilides administration & dosage
Acetanilides adverse effects
Cross-Over Studies
Datasets as Topic
Drug-Related Side Effects and Adverse Reactions diagnosis
Drug-Related Side Effects and Adverse Reactions etiology
Drug-Related Side Effects and Adverse Reactions prevention & control
Electrocardiography drug effects
Female
Humans
Male
Moxifloxacin administration & dosage
Moxifloxacin adverse effects
Placebos administration & dosage
Placebos adverse effects
Randomized Controlled Trials as Topic
Thiazoles administration & dosage
Thiazoles adverse effects
Data Interpretation, Statistical
Heart Rate drug effects
Minimal Clinically Important Difference
Models, Biological
Pharmacology, Clinical methods
Subjects
Details
- Language :
- English
- ISSN :
- 1573-8744
- Volume :
- 48
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Journal of pharmacokinetics and pharmacodynamics
- Publication Type :
- Academic Journal
- Accession number :
- 33037534
- Full Text :
- https://doi.org/10.1007/s10928-020-09721-0