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.

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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
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article

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

Xiaoyu Cai, Meiyu Shen
Journal of Biopharmaceutical Statistics
Statistical Methods in Clinical Trials
article

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

Xiaoyu Cai, Meiyu Shen
article en

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.

Journal of Biopharmaceutical Statistics
Food and Drug Administration (TH)
Good health and well-being
Openalex Percentile: Top 5%
Statistical Methods in Clinical Trials
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