Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Videos

Sample size for a dose-response study.

¹Berlex Laboratories, Inc., Wayne, New Jersey 07470.

Journal of Biopharmaceutical Statistics

|January 1, 1992

Summary

This summary is machine-generated.

This study presents a sample size allocation method for dose-response studies using a logistic model. It ensures precise estimation of the dose needed for a clinically significant efficacy difference compared to a placebo.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Genitourinary injuries in the newborn.

Journal of pediatric surgery·2001

Same author

Sample size for comparing linear growth curves.

Journal of biopharmaceutical statistics·1999

Same author

Surgery for Crohn's disease in infants and children.

Journal of pediatric surgery·1997

Same author

Analysis of a within-subject design with covariates.

Journal of biopharmaceutical statistics·1997

Same author

Some optimal and non-optimal two-stage designs using an alpha-spending function.

Statistics in medicine·1996

Same author

Analysis of paired ordered categorical data in a factorial design.

Journal of biopharmaceutical statistics·1996

Same journal

Correction.

Journal of biopharmaceutical statistics·2026

Same journal

Leveraging external controls in clinical trials: estimands, estimation, assumptions.

Journal of biopharmaceutical statistics·2026

Same journal

Special issue of nonclinical statistics in regulatory applications guest editors' notes.

Journal of biopharmaceutical statistics·2026

Same journal

Comparison of flexible parametric modeling and nonparametric methods to estimate restricted mean survival time: A simulation study.

Journal of biopharmaceutical statistics·2026

Same journal

Simulated treatment comparisons with jackknife pseudo values for estimating population-adjusted marginal treatment effects.

Journal of biopharmaceutical statistics·2026

Same journal

Sample sizes for randomized controlled trials utilizing Bayesian response adaptive randomization for continuous outcomes.

Journal of biopharmaceutical statistics·2026

See all related articles

Area of Science:

Biostatistics
Pharmacometrics
Clinical Trial Design

Background:

Dose-response studies are crucial for determining optimal drug dosages.
Accurate sample size calculation is essential for study power and reliable results.
Estimating the dose for a clinically meaningful effect requires precise statistical methods.

Purpose of the Study:

To develop a method for sample size allocation in dose-response studies.
To provide a framework for estimating the dose yielding a clinically important difference from placebo.
To adapt the methodology for both binary and continuous response variables.

Main Methods:

Utilizes a logistic model for the dose-response curve.
Focuses on the precision required for estimating a specific efficacy-related dose.

Related Experiment Videos

Includes modifications for continuous outcome data.

Main Results:

A novel method for sample size allocation is proposed.
The methodology allows for precise estimation of the effective dose.
The approach is demonstrated with an illustrative example.

Conclusions:

The proposed method facilitates efficient sample size determination in dose-response studies.
This approach enhances the reliability of estimating clinically significant doses.
The adaptable methodology supports diverse study designs with binary or continuous outcomes.