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

Bioequivalence studies: Biowaivers01:13

Bioequivalence studies: Biowaivers

390
In certain scenarios, in vitro dissolution tests can replace in vivo bioequivalence studies. This is particularly true when a drug product, though available in varying strengths, maintains proportional similarity in its active and inactive ingredients. In such cases, the need for in vivo bioequivalence studies for lower strength variants may be waived, provided dissolution tests and in vivo studies on the highest strength yield satisfactory results.Bioequivalence can be indicated through...
390
Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs01:15

Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs

387
Bioequivalence experimental study designs play a pivotal role in testing the effectiveness of various treatments. Key among these are the repeated measures, cross-over, carry-over, and Latin square designs. In the repeated measures design, each subject receives all treatments, allowing for temporal comparisons. This type of design is useful in reducing variability but requires careful planning to avoid bias.The cross-over design, an economical method, involves sequential administration of...
387
Bioavailability Study Design: Healthy Subjects Versus Patients01:15

Bioavailability Study Design: Healthy Subjects Versus Patients

208
Bioavailability studies are essential for evaluating a drug's therapeutic efficacy and understanding its absorption patterns under various physiological conditions. Conducting such studies on target patient populations provides more relevant data by simulating real-world disease states. However, practical challenges often necessitate the use of young, healthy adult volunteers as study subjects.Patients may exhibit altered drug absorption patterns due to the effects of the disease itself,...
208
Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs01:20

Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs

368
Bioequivalence experimental study designs are crucial methodologies used in evaluating and comparing the bioavailability of different drug products. These designs are categorized into various types: completely randomized, randomized block, repeated measures, cross and carry-over, and Latin square designs.Completely randomized designs involve randomly allocating treatments to all subjects participating in the experiment. This allocation is achieved by assigning unique random numbers to subjects...
368
Bioavailability Study Design: Single Versus Multiple Dose Studies01:11

Bioavailability Study Design: Single Versus Multiple Dose Studies

335
Bioavailability studies are essential for understanding how a drug is absorbed, distributed, metabolized, and excreted in the body. These studies assess the extent and rate at which the active pharmaceutical agent becomes available at the site of action. The design of bioavailability studies can involve single-dose or multiple-dose regimens, each with distinct advantages and limitations.Single-dose studies are the preferred approach due to their simplicity and reduced drug exposure for...
335
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

1.5K
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
1.5K

You might also read

Related Articles

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

Sort by
Same author

Evaluating mental health integration in PrEP programs to reduce HIV incidence among US gay and bisexual men: a network modeling study.

BMC health services research·2026
Same author

Estimating the impact of Shigella vaccines on growth outcomes and implications for clinical trial design.

Vaccine·2026
Same author

Nonparametric motion control in functional connectivity studies in children with autism spectrum disorder.

Biometrics·2026
Same author

Performance of fecal inflammatory biomarkers to identify watery shigellosis: Findings from the Enterics for Global Health (EFGH) Shigella surveillance study.

PLoS neglected tropical diseases·2026
Same author

Assessing Racial Disparities in Healthcare Expenditures via Mediator Distribution Shifts.

Statistics in medicine·2026
Same author

A General Framework for Designing and Evaluating Active-Controlled Trials with Non-Inferiority Objectives.

Statistics in medicine·2026

Related Experiment Video

Updated: Apr 3, 2026

Utilizing the Antigen Capsid-Incorporation Strategy for the Development of Adenovirus Serotype 5-Vectored Vaccine Approaches
13:36

Utilizing the Antigen Capsid-Incorporation Strategy for the Development of Adenovirus Serotype 5-Vectored Vaccine Approaches

Published on: May 6, 2015

10.9K

Comparing HIV Vaccine Immunogenicity Across Trials With Different Populations and Study Designs.

Yutong Jin1, Alex Luedtke2, Zoe Moodie3

  • 1Department of Biostatistics and Bioinformatics, Emory University, Atlanta, Georgia, USA.

Statistics in Medicine
|April 2, 2026
PubMed
Summary

Developing standardized methods to compare HIV vaccine immunogenicity across trials is crucial. This study proposes a framework to identify immune responses that predict vaccine efficacy, enabling more objective comparisons and advancing HIV prevention research.

Keywords:
HIV/AIDScausal inferenceinfectious diseaserandomized clinical trialsvaccine immunogenicity

More Related Videos

In Vitro Methods for Comparing Target Binding and CDC Induction Between Therapeutic Antibodies: Applications in Biosimilarity Analysis
07:25

In Vitro Methods for Comparing Target Binding and CDC Induction Between Therapeutic Antibodies: Applications in Biosimilarity Analysis

Published on: May 4, 2017

18.3K
Enumeration of Major Peripheral Blood Leukocyte Populations for Multicenter Clinical Trials Using a Whole Blood Phenotyping Assay
14:45

Enumeration of Major Peripheral Blood Leukocyte Populations for Multicenter Clinical Trials Using a Whole Blood Phenotyping Assay

Published on: September 16, 2012

15.6K

Related Experiment Videos

Last Updated: Apr 3, 2026

Utilizing the Antigen Capsid-Incorporation Strategy for the Development of Adenovirus Serotype 5-Vectored Vaccine Approaches
13:36

Utilizing the Antigen Capsid-Incorporation Strategy for the Development of Adenovirus Serotype 5-Vectored Vaccine Approaches

Published on: May 6, 2015

10.9K
In Vitro Methods for Comparing Target Binding and CDC Induction Between Therapeutic Antibodies: Applications in Biosimilarity Analysis
07:25

In Vitro Methods for Comparing Target Binding and CDC Induction Between Therapeutic Antibodies: Applications in Biosimilarity Analysis

Published on: May 4, 2017

18.3K
Enumeration of Major Peripheral Blood Leukocyte Populations for Multicenter Clinical Trials Using a Whole Blood Phenotyping Assay
14:45

Enumeration of Major Peripheral Blood Leukocyte Populations for Multicenter Clinical Trials Using a Whole Blood Phenotyping Assay

Published on: September 16, 2012

15.6K

Area of Science:

  • Immunology
  • Vaccinology
  • Biostatistics

Background:

  • Preventive vaccines are key to controlling the HIV epidemic.
  • Measuring vaccine efficacy via large trials is costly and complex.
  • Identifying immune responses predicting vaccine efficacy (correlates of protection) is essential.

Purpose of the Study:

  • To develop a framework for standardized comparison of vaccine-induced immunogenicity across diverse HIV vaccine trials.
  • To identify appropriate causal estimands and estimators for comparing immune responses.

Main Methods:

  • Proposed a framework for identifying causal estimands and estimators.
  • Conducted extensive simulation studies to evaluate the performance of proposed methods.
  • Applied the technique to compare immunogenicity data from three HIV vaccine trials.

Main Results:

  • The proposed estimators demonstrated well-behaved and robust properties in simulations.
  • The framework enables standardized comparisons of vaccine-induced immunogenicity.
  • The technique was successfully applied to real-world HIV vaccine trial data.

Conclusions:

  • The proposed framework provides a standardized approach to compare HIV vaccine immunogenicity across studies.
  • This method addresses challenges posed by diverse trial designs and populations.
  • Facilitates objective evaluation of immune responses and potential correlates of protection for HIV vaccines.