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

Dose Response Curve: Conventional Versus Nonmonotonic01:21

Dose Response Curve: Conventional Versus Nonmonotonic

251
The correlation between a drug's dosage and its impact on a biological system is a cornerstone of pharmacology and toxicology. Conventional dose–response curves, which include graded and quantal relationships, are key to this understanding. Graded dose–response curves depict the spectrum of a biological reaction to different doses within an individual, indicating that as the drug dosage increases, so does the intensity of the response. On the other hand, quantal dose–response...
251
Dose-Response Relationship: Overview01:03

Dose-Response Relationship: Overview

5.9K
Agonists can bind with and activate receptors, resulting in the formation of drug-receptor complexes. Once formed, these complexes catalyze many biochemical processes at the cellular level and subsequently induce a pharmacologic response. The degree of response is directly proportional to the fraction of activated receptors, which in turn, depends on the concentration of the drug at the receptor site as well as the sensitivity of the receptor. An increase in the administered dose contributes to...
5.9K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

551
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
551
Dosage Regimens: Partial Pharmacokinetic Parameters01:01

Dosage Regimens: Partial Pharmacokinetic Parameters

258
It is not uncommon for complete drug pharmacokinetic profiles to remain elusive in pharmacokinetics. This necessitates certain educated assumptions by pharmacokineticists to determine appropriate dosage regimens without comprehensive pharmacokinetic data from animal or human studies. One prevalent assumption is setting the bioavailability factor, denoted as F, to 1 or 100%. This assumption caters to the scenario where a drug doesn't achieve full systemic absorption, resulting in the patient...
258
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

926
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
926
Dose-Response Relationship: Potency and Efficacy01:22

Dose-Response Relationship: Potency and Efficacy

7.4K
The potency of a drug is the measure of its ability to produce a biological response and can be compared by looking at the half-maximum effective concentration or EC50 values of different drugs. A lower EC50 value indicates higher potency of the drug. In the dose–response curve of two antihypertensive drugs, candesartan and irbesartan, a significant difference is observed in their EC50 values. A lower EC50 value for candesartan indicates that it is more potent than irbesartan, as it...
7.4K

You might also read

Related Articles

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

Sort by
Same author

Simulation-Based Power Analysis for Time-Dependent Area Under Receiver Operating Characteristic Curve Using Approximate Bayesian Computation.

Statistics in medicine·2026
Same author

Impact of intraoperative intravenous heparin bolus on clinical outcomes during radical nephrectomy and IVC tumor thrombectomy in renal cell carcinoma with level I-IV IVC thrombus: A multi-institutional study.

Urologic oncology·2026
Same author

A Tough Pill to Swallow: Bedside Dysphagia Screening in Geriatric Trauma Patients.

The Journal of surgical research·2025
Same author

Examining inpatient chemotherapy utilization among patients with cancer and impact on outcomes.

The oncologist·2025
Same author

Leukemia, Lymphoma, and Multiple Myeloma Mortality in the Russian Mayak Worker Cohort 1948-2015.

Radiation research·2025
Same author

A phase 1B trial of vocimagene amiretrorepvec in patients with advanced solid tumors: Safety, tumor homing, and immune modulatory effects.

Molecular therapy : the journal of the American Society of Gene Therapy·2025
Same journal

Latent Class Log-Linear Models for Estimating Diagnostic Test Accuracy Without a Gold Standard: A Simulation Study.

Statistics in medicine·2026
Same journal

Interpretable Bayesian Modeling for Multireader Multicase Studies: Addressing Overdispersion and Limited Sample Size in Diagnostic Enhancement Evaluation.

Statistics in medicine·2026
Same journal

Adaptive Sequential Multiple Hypotheses Testing for Concomitant Vaccine Safety Surveillance.

Statistics in medicine·2026
Same journal

Novel Distance Regression for Repeated Outcomes With Missing Data: Applications to Longitudinal and Crossover Studies of Microbiome Beta-Diversity.

Statistics in medicine·2026
Same journal

Optimal Weighted Tests for Replication Studies and the 'Two-Trials Rule' With Multiple Hypotheses.

Statistics in medicine·2026
Same journal

Identifiable Copula-Double-Cox Models: A Fully Parametric Framework for Dependent Right-Censored Survival Data.

Statistics in medicine·2026
See all related articles

Related Experiment Video

Updated: Apr 4, 2026

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation
10:33

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation

Published on: September 4, 2017

16.8K

Bayesian dose-response analysis for epidemiological studies with complex uncertainty in dose estimation.

Deukwoo Kwon1, F Owen Hoffman2, Brian E Moroz3

  • 1Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, U.S.A.

Statistics in Medicine
|September 15, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces a Bayesian model averaging method to better analyze radiation dose and disease risk by accounting for uncertainties in exposure estimates. The new method shows improved accuracy in risk assessment, especially when dealing with complex uncertainties.

Keywords:
Bayesian model averagingcancer risk estimationdose-response modelradiation epidemiology

More Related Videos

Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band
06:43

Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band

Published on: May 2, 2018

7.5K
Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition
06:20

Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition

Published on: March 11, 2021

7.8K

Related Experiment Videos

Last Updated: Apr 4, 2026

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation
10:33

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation

Published on: September 4, 2017

16.8K
Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band
06:43

Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band

Published on: May 2, 2018

7.5K
Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition
06:20

Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition

Published on: March 11, 2021

7.8K

Area of Science:

  • Environmental Health
  • Biostatistics
  • Epidemiology

Background:

  • Conventional risk analysis often uses single exposure estimates, neglecting crucial uncertainty.
  • Accurate dose-response assessment is vital for understanding radiation exposure health effects.
  • Existing methods struggle with complex, mixed uncertainties in dose estimations.

Purpose of the Study:

  • To develop and evaluate a Bayesian model averaging method for radiation risk analysis.
  • To quantify the relationship between radiation dose and disease outcomes while accounting for dose estimation uncertainties.
  • To compare the performance of the Bayesian method against conventional regression techniques.

Main Methods:

  • Utilized a Bayesian model averaging approach with multiple dose vector realizations.
  • Employed a two-dimensional Monte Carlo simulation to separate shared and unshared errors in dose estimation.
  • Applied the method to a cohort exposed to nuclear fallout in Kazakhstan, studying thyroid nodule risk.

Main Results:

  • Bayesian method yielded similar results to conventional methods with minimal uncertainty.
  • Significantly lower relative bias and improved coverage (credible interval accuracy) were observed with the Bayesian method when handling large, complex uncertainties.
  • Demonstrated enhanced capability in estimating true risk coefficients compared to traditional regression.

Conclusions:

  • The proposed Bayesian model averaging method offers a robust approach for radiation risk analysis, particularly in the presence of significant dose uncertainties.
  • This method provides more reliable risk estimates and better uncertainty quantification than conventional techniques.
  • The findings have implications for epidemiological studies involving radiation exposure and disease outcomes.