Statistical design and data analysis for the effect of multiple doses of a treatment on renal functions using a pharmacodynamic biomarker

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Authors: Meiyu Shen, Xiaoyu Cai
Cited by: 1
References: 1

Abstract

Normally, the safety evaluation starts at a phase 1 study using healthy subjects, since the main purpose of phase 1 studies is to find out maximum tolerated doses and side effects. Sometimes, a multiple-dose study may be necessary to further understand the side effects of a treatment, since a specific side effect has been identified during the post-market safety evaluation after drugs are repeatedly administered to patients for treating a disease for a long time. Particularly, Phase 1 trial of interest here evaluates the effect of multiple doses of a drug on a renal function via measurement of a metabolite clearance in healthy subjects. In general, we know that the renal function will be adversely impaired by the drug intake. We propose a non-inferiority analysis allowing a small decrease in the renal function after the drug is taken. In this study, we discuss the design, power and sample size, and statistical data analysis.

Fields of Study & Subjects

Statistical Methods in Clinical Trials Advanced Causal Inference Techniques Statistical Methods and Bayesian Inference

Publication details

Journal / source
Journal of Biopharmaceutical Statistics
Publisher
Informa UK Limited
Volume
36
Issue
4
Pages
701–706
Publication date
11 May 2026
Language
EN