Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Pore Size Distribution01:23

Pore Size Distribution

485
In concrete, the pore size distribution significantly influences the material's properties. Capillary pores, markedly larger than gel pores, form a vast network within partially hydrated cement paste, reducing the concrete's strength and increasing its permeability. This heightened permeability leads to a greater risk of damage from environmental factors like freeze-thaw cycles and chemical attacks, with the extent of vulnerability also being tied to the water-to-cement ratio.
Adequate...
485
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

249
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
249
Cell Size01:22

Cell Size

129.2K
Cell sizes vary widely among and within organisms. Bacterial cells range between 1-10 micrometers (μm)and are considerably smaller than most eukaryotic cells. The smallest bacteria are 0.1 μm in diameter—about a thousand times smaller than eukaryotic cells, which typically range from 10-100 μm.
Surface Area
Cells can take in nutrients and water via diffusion through the plasma membrane itself or through specific channels in the membrane. The area of the membrane surrounding...
129.2K
Drug Distribution: Volume of Distribution01:25

Drug Distribution: Volume of Distribution

7.5K
The volume of distribution refers to the theoretical volume necessary to contain the entire amount of an administered drug at the same concentration observed in the blood plasma. The body's intracellular fluid compartment, which makes up two-thirds of the total body water, is contrasted with the extracellular fluid compartment—comprising plasma and interstitial fluid—that accounts for one-third. The volume of distribution can vary depending on the characteristics of the drug.
7.5K
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

9.2K
While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
9.2K
F Distribution01:19

F Distribution

10.7K
The F distribution was named after Sir Ronald Fisher, an English statistician. The F statistic is a ratio (a fraction) with two sets of degrees of freedom; one for the numerator and one for the denominator. The F distribution is derived from the Student's t distribution. The values of the F distribution are squares of the corresponding values of the t distribution. One-Way ANOVA expands the t test for comparing more than two groups. The scope of that derivation is beyond the level of this...
10.7K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Using Policy Learning to Inform Health Insurance Targeting: A Case Study of Indonesia.

Health economics·2025
Same author

Inequality of opportunity in the double burden of malnutrition in Mexico.

Health economics·2024
Same author

Labor supply and informal care responses to health shocks within couples: Evidence from the UK.

Health economics·2022
Same author

The Covid-19 pandemic and its impact on socioeconomic inequality in psychological distress in the United Kingdom: An update.

Health economics·2022
Same author

Weather, mental health, and mobility during the first wave of the COVID-19 pandemic.

Health economics·2021
Same author

The first wave of the COVID-19 pandemic and its impact on socioeconomic inequality in psychological distress in the UK.

Health economics·2021

Related Experiment Video

Updated: Feb 9, 2026

Precision Measurements and Parametric Models of Vertebral Endplates
10:35

Precision Measurements and Parametric Models of Vertebral Endplates

Published on: September 17, 2019

6.8K

Parametric models for biomarkers based on flexible size distributions.

Apostolos Davillas1, Andrew M Jones2,3

  • 1Institute for Social and Economic Research, University of Essex, Colchester, UK.

Health Economics
|June 15, 2018
PubMed
Summary

Flexible parametric distributions, like the generalized beta of the second kind (GB2), offer superior statistical modeling for biomarker data in social science surveys compared to traditional linear models. These advanced methods better handle biomarker asymmetry and heavy tails.

Keywords:
biomarkersgeneralized beta of second kindheavy tailstail probabilities

More Related Videos

Characterization of Nanocrystal Size Distribution using Raman Spectroscopy with a Multi-particle Phonon Confinement Model
06:54

Characterization of Nanocrystal Size Distribution using Raman Spectroscopy with a Multi-particle Phonon Confinement Model

Published on: August 22, 2015

14.3K
Assisted Selection of Biomarkers by Linear Discriminant Analysis Effect Size LEfSe in Microbiome Data
04:57

Assisted Selection of Biomarkers by Linear Discriminant Analysis Effect Size LEfSe in Microbiome Data

Published on: May 16, 2022

17.5K

Related Experiment Videos

Last Updated: Feb 9, 2026

Precision Measurements and Parametric Models of Vertebral Endplates
10:35

Precision Measurements and Parametric Models of Vertebral Endplates

Published on: September 17, 2019

6.8K
Characterization of Nanocrystal Size Distribution using Raman Spectroscopy with a Multi-particle Phonon Confinement Model
06:54

Characterization of Nanocrystal Size Distribution using Raman Spectroscopy with a Multi-particle Phonon Confinement Model

Published on: August 22, 2015

14.3K
Assisted Selection of Biomarkers by Linear Discriminant Analysis Effect Size LEfSe in Microbiome Data
04:57

Assisted Selection of Biomarkers by Linear Discriminant Analysis Effect Size LEfSe in Microbiome Data

Published on: May 16, 2022

17.5K

Area of Science:

  • Social Sciences
  • Biostatistics
  • Econometrics

Background:

  • Social science surveys increasingly collect biological samples (biomarkers).
  • Biomarker data often exhibit asymmetric distributions with heavy tails, posing statistical challenges.
  • Traditional statistical models may not adequately capture biomarker variability.

Purpose of the Study:

  • To compare the performance of flexible parametric distributions for modeling biomarker data.
  • To assess the suitability of the generalized beta of the second kind (GB2) and its nested distributions.
  • To evaluate models beyond simple mean estimation, focusing on tail probabilities.

Main Methods:

  • Utilized data from the UK Household Panel Survey.
  • Modeled common blood biomarkers (inflammation, diabetes, cholesterol, stress hormones).
  • Compared flexible parametric distributions: generalized beta of the second kind (GB2), generalized gamma, and their nested cases.

Main Results:

  • Flexible parametric distributions generally outperformed traditional linear models.
  • Some three-parameter distributions nested within GB2 showed strong performance for most biomarkers.
  • GB2 provided a useful framework for selecting appropriate parametric models, performing well even for tail probabilities.

Conclusions:

  • Flexible parametric distributions are highly effective for analyzing complex biomarker data in social science.
  • The GB2 distribution serves as a valuable guide for model selection in biomarker research.
  • Advanced statistical modeling is crucial for accurately interpreting biomarker data beyond simple averages.