Related Experiment Video
Updated: Apr 29, 2026

Dynamic Monitoring of Seroconversion using a Multianalyte Immunobead Assay for Covid-19
Published on: February 16, 2022
A simple and powerful method for the estimation of intervention effects on serological endpoints using paired
Ying Xu1, K F Lam, Eng Eong Ooi
1a Centre for Quantitative Medicine, Office of Clinical Sciences , Duke-NUS Graduate Medical School , Singapore , Singapore.
Abstract:
Clinical trials often use a binary "fold increase" endpoint defined according to the ratio of interval-censored measurement at end-of-study to that at baseline. We propose a simple yet principled analytic approach based on the linear mixed-effects model for interval-censored data for the analysis of such paired measurements. Having estimated the model parameters, the risk ratio can be estimated by explicit composite estimand and the variance is estimated using the delta method. The estimation can be implemented using the existing procedures in popular statistical software. We use antibody data from the Chloroquine for Influenza Prevention Trial for illustration.
More Related Videos
Related Concept Videos
Comparing the Survival Analysis of Two or More Groups
Censoring Survival Data
Kaplan-Meier Approach
Assumptions of Survival Analysis
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Introduction To Survival Analysis
The primary goal of survival analysis is to estimate survival time—the time...

