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 Relationship: Potency and Efficacy01:22

Dose-Response Relationship: Potency and Efficacy

5.6K
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...
5.6K
Dose-Response Relationship: Overview01:03

Dose-Response Relationship: Overview

3.9K
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...
3.9K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

197
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,...
197
Bioequivalence Data: Statistical Interpretation01:16

Bioequivalence Data: Statistical Interpretation

9
Body:The statistical interpretation of bioequivalence data is a significant aspect of pharmaceutical research. Bioequivalence refers to the absence of any significant difference in the rate and extent to which the active ingredient in pharmaceutical products becomes available at the site of drug action when administered at the same molar dose under similar conditions. This helps determine if different drug products have similar absorption rates, ensuring their interchangeability.Statistical...
9
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

173
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
173
Hazard Ratio01:12

Hazard Ratio

289
The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial...
289

You might also read

Related Articles

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

Sort by
Same author

Rapid Fabrication of Highly Customizable Test Chambers for Behavioral Experiments with Small Aquatic Model Organisms.

Zebrafish·2026
Same author

Conservative treatments for chronic non-specific low back pain: time course network meta-analysis.

BMJ medicine·2026
Same author

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

Statistics in medicine·2026
Same author

ASSESSING COST EFFECTIVENESS IN ONCOLOGY TREATMENT SEQUENCES: A REVIEW OF PATHWAY MODELLING METHODS FOR HEALTH TECHNOLOGY ASSESSMENT.

International journal of technology assessment in health care·2026
Same author

Effect of a Personalized Mobile App on Glucose Control in Adults With Prediabetes and Type 2 Diabetes: Exploratory Pilot Randomized Controlled Trial.

JMIR human factors·2026
Same author

Treatments for metastatic non-small cell lung cancer: a pathways pilot with systematic review, evidence synthesis and economic model.

Health technology assessment (Winchester, England)·2026

Related Experiment Video

Updated: Oct 11, 2025

Impact Assessment of Repeated Exposure of Organotypic 3D Bronchial and Nasal Tissue Culture Models to Whole Cigarette Smoke
09:50

Impact Assessment of Repeated Exposure of Organotypic 3D Bronchial and Nasal Tissue Culture Models to Whole Cigarette Smoke

Published on: February 12, 2015

11.3K

Methods to assess evidence consistency in dose-response model based network meta-analysis.

Hugo Pedder1, Sofia Dias2, Martin Boucher3

  • 1Population Health Sciences, Canynge Hall, University of Bristol, Bristol, UK.

Statistics in Medicine
|December 6, 2021
PubMed
Summary

Model-based network meta-analysis (MBNMA) methods address dose heterogeneity in treatment comparisons. Checking for inconsistency is crucial for robust relative effects in drug development and policy decisions.

Keywords:
NMAconsistencydoseheterogeneitymeta-analysissynthesis

More Related Videos

Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI
06:26

Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI

Published on: November 27, 2019

74.0K
Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment
08:36

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment

Published on: April 19, 2024

795

Related Experiment Videos

Last Updated: Oct 11, 2025

Impact Assessment of Repeated Exposure of Organotypic 3D Bronchial and Nasal Tissue Culture Models to Whole Cigarette Smoke
09:50

Impact Assessment of Repeated Exposure of Organotypic 3D Bronchial and Nasal Tissue Culture Models to Whole Cigarette Smoke

Published on: February 12, 2015

11.3K
Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI
06:26

Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI

Published on: November 27, 2019

74.0K
Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment
08:36

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment

Published on: April 19, 2024

795

Area of Science:

  • Pharmacometrics
  • Biostatistics
  • Health Economics

Background:

  • Network meta-analysis (NMA) estimates relative treatment effects but can be compromised by heterogeneity in treatment definitions, such as varying doses.
  • Model-based NMA (MBNMA) allows estimation of functional dose-response relationships, mitigating inconsistency by avoiding the lumping of different doses.

Purpose of the Study:

  • To describe methods for checking consistency in dose-response MBNMA models.
  • To highlight the importance of assessing consistency for reliable relative effect estimation.

Main Methods:

  • Described global and local (node-splitting) inconsistency tests for dose-response MBNMA.
  • Accounted for studies with three or more arms, common in dose-finding trials.
  • Assessed consistency relative to the choice of dose-response function (e.g., Emax, exponential).

Main Results:

  • Failure to correctly characterize dose-response functions can introduce apparent inconsistency.
  • The number of node-splitting comparisons depends on the complexity of the chosen dose-response function.
  • Dose-finding study designs inherently guard against inconsistency but offer limited scope for its assessment.

Conclusions:

  • Assessing consistency is vital for obtaining robust relative effects from dose-response MBNMA.
  • Methods described are crucial for informing drug development and policy decisions.
  • Careful selection and assessment of dose-response functions are necessary for valid MBNMA.