Statistical design and data analysis for the effect of multiple doses of a treatment on renal functions using a pharmacodynamic biomarker
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.
Authors
- Xiaoyu Cai (ORCID: https://orcid.org/0000-0002-5548-866X)
- Meiyu Shen
Institutions
- Food and Drug Administration (TH)
Publication Details
- Journal
- Journal of Biopharmaceutical Statistics
- Published
- 2026-05-11
- DOI
- https://doi.org/10.1080/10543406.2026.2670514
- Primary Topic
- Statistical Methods in Clinical Trials
- Type
- article
- Field-Weighted Citation Impact
- 0.00