# Statistical methods for HIV-1 immune correlates studies

> **NIH NIH R01** · FRED HUTCHINSON CANCER RESEARCH CENTER · 2020 · $219,940

## Abstract

   
DESCRIPTION (provided by applicant): Finding vaccine-induced immune response biomarkers that predict vaccine-protection against HIV-1 and other significant pathogen infection, and understanding their role as mechanisms of protection, is an essential part of vaccine research. We distinguish three stages in immune correlates studies. The first stage deals with measurement of immune response and may involve experimental design. The second stage performs preprocessing of immune response variables obtained in the first stage to form composite immune response variables. The third stage examines the association between clinical outcome and immune response variables. We will develop novel statistical methods for each stage in order to increase the signal- to-noise ratio in immune response measurement, create immune response scores with maximum signal diversity, and increase the power of hypothesis testing by using change point regression model.

## Key facts

- **NIH application ID:** 9872979
- **Project number:** 5R01AI122991-05
- **Recipient organization:** FRED HUTCHINSON CANCER RESEARCH CENTER
- **Principal Investigator:** Youyi Fong
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $219,940
- **Award type:** 5
- **Project period:** 2016-03-01 → 2022-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9872979

## Citation

> US National Institutes of Health, RePORTER application 9872979, Statistical methods for HIV-1 immune correlates studies (5R01AI122991-05). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/9872979. Licensed CC0.

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