Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Cross-reactivity

Cross-reactivity

You might also read

Related Articles

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

Sort by

Same author

Searching for immune correlates in Lassa vaccine development - workshop report.

NPJ vaccines·2026

Same author

Correlates of severe and delta COVID-19 in a phase 3 trial of the AZD1222 vaccine.

NPJ vaccines·2026

Same author

Continuous Infusion of the CXCR4 Antagonist Plerixafor for WHIM Syndrome.

Journal of clinical immunology·2026

Same author

Impact of prior SARS-CoV-2 acquisition on binding and neutralizing antibody responses following COVID-19 vaccination: A cross-protocol analysis of individual-level data from six phase 3 clinical trials.

Vaccine·2026

Same author

Plasma biomarkers of immunothrombosis are independently associated with death in patients with COVID-19 on ECMO.

The Journal of infectious diseases·2026

Same author

Association between COVID-19 vaccine efficacy and epidemic force of infection.

NPJ vaccines·2026

Same journal

A Bayesian functional concurrent zero-inflated Dirichlet-multinomial regression model with application to infant microbiome.

Biostatistics (Oxford, England)·2026

Same journal

Towards optimal environmental policies: policy learning under arbitrary bipartite network interference.

Biostatistics (Oxford, England)·2026

Same journal

Multilevel functional quantile principal component analysis.

Biostatistics (Oxford, England)·2026

Same journal

Adaptive transfer learning for time-to-event modeling with applications in disease risk assessment.

Biostatistics (Oxford, England)·2026

Same journal

High-dimensional test for one-sided hypotheses.

Biostatistics (Oxford, England)·2026

Same journal

NBSR: a Negative Binomial Softmax Regression model for microRNA-seq data analysis.

Biostatistics (Oxford, England)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 17, 2025

Noninvasive Sampling of Mucosal Lining Fluid for the Quantification of In Vivo Upper Airway Immune-mediator Levels

Noninvasive Sampling of Mucosal Lining Fluid for the Quantification of In Vivo Upper Airway Immune-mediator Levels

Published on: August 7, 2017

Exposure proximal immune correlates analysis.

Ying Huang¹, Dean Follmann²

¹Biostatistics, Bioinformatics and Epidemiology Program, Vaccine & Infectious Disease Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, Seattle, WA, 98109.

Biostatistics (Oxford, England)

|August 14, 2024

Summary

This summary is machine-generated.

Vaccine protection wanes as immune responses decay over time. This study develops statistical methods to analyze how waning immunity affects disease risk and vaccine efficacy, crucial for future vaccine strategies.

Keywords:

exposure-proximal correlates induced partial likelihood two-phase sampling vaccine trial

More Related Videos

Developing a Salivary Antibody Multiplex Immunoassay to Measure Human Exposure to Environmental Pathogens

Developing a Salivary Antibody Multiplex Immunoassay to Measure Human Exposure to Environmental Pathogens

Published on: September 12, 2016

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

Related Experiment Videos

Last Updated: Jun 17, 2025

Noninvasive Sampling of Mucosal Lining Fluid for the Quantification of In Vivo Upper Airway Immune-mediator Levels

Noninvasive Sampling of Mucosal Lining Fluid for the Quantification of In Vivo Upper Airway Immune-mediator Levels

Published on: August 7, 2017

Developing a Salivary Antibody Multiplex Immunoassay to Measure Human Exposure to Environmental Pathogens

Developing a Salivary Antibody Multiplex Immunoassay to Measure Human Exposure to Environmental Pathogens

Published on: September 12, 2016

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

Area of Science:

Immunology
Biostatistics
Epidemiology

Background:

Immune responses and vaccine-induced protection naturally decline over time.
Understanding this waning is vital for effective vaccine development and deployment against infectious diseases.
Time-varying vaccine efficacy requires sophisticated statistical analysis.

Purpose of the Study:

To develop statistical methods for assessing the impact of decaying immune responses on disease risk and vaccine efficacy.
To disentangle direct vaccine effects from those mediated by immune responses.
To analyze vaccine efficacy in the context of Cox regression with sparse immune response data.

Main Methods:

Proposed a weighted estimated induced likelihood approach.
Modeled longitudinal immune response trajectories and time-to-event data separately.
Utilized time-to-event data from vaccine efficacy trials with sparse longitudinal immune sampling.

Main Results:

The method can assess the effects of decaying immune response, peak immune response, and waning vaccine effect on disease risk.
The approach is applicable to both standard and augmented vaccine trial designs.
Simulations confirmed the method's performance, and it was applied to SARS-CoV-2 vaccine trial data.

Conclusions:

The developed statistical methods provide a robust framework for analyzing time-varying vaccine efficacy.
This approach aids in understanding the complex interplay between immune response decay and disease prevention.
Findings are crucial for optimizing vaccine strategies and future trial designs.