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

On the statistical analysis of bioassays | JoVE Visualize

Home
Research Domains
Mathematical Sciences

On the statistical analysis of bioassays

¹Department of Mathematics, Hong Kong University of Science and Technology, Sai Kung, Hong Kong. mamywong@uxmail.ust.hk

Computer Methods and Programs in Biomedicine|May 1, 1996

View abstract on PubMed

Summary

New SAS programs analyze biological assays, including parallel line and quantal response assays. These tools assess assay validity and estimate relative potencies for biological preparations.

Area of Science:

Biostatistics
Pharmacometrics
Biological Assays

Background:

Previous SAS program SLOPE analyzed biological assays using slope ratio method.
Statistical analysis of parallel line and quantal response assays requires specialized tools.

Purpose of the Study:

Develop SAS programs for statistical analysis of parallel line and quantal response assays.
Enable assessment of assay validity and estimation of relative potencies.

Main Methods:

Development of SAS programs tailored for specific assay designs.
Implementation of statistical methodologies for validity checks and potency estimation.

Main Results:

Successfully developed SAS programs for parallel line and quantal response assay analysis.
Programs can validate assay statistical significance and determine relative potencies.

Conclusions:

The new SAS programs provide robust statistical analysis for parallel line and quantal response assays.
These tools enhance the reliability of biological assay interpretation and drug development.

Statistical Data Science

On The Statistical Analysis Of Bioassays