JMP Software: Analysis of Dose-Response Curves
This course presents an approach for applying techniques recommended in USP regulations for analyzing assay curves. This course specifically focuses on the evaluation and statistical analysis of dose-response data. A case study is used to demonstrate these principles and the advantages of software tools.
Learn how to
- prepare assay data for analysis
- identify an appropriate model for dose-response curves
- specify a model as a column formula
- simultaneously fit a curve to the standard and the unknown sample data
- automate the analysis using a simple template and a completely scripted solution.
Who should attend
Scientists and Quality Control personnel with some statistical training who need to fit dose-response curves to assay data and determine relative potency
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Prerequisites
Before attending this course, it is recommended you
Course Contents
Overview
- analyzing data from assays and dose-response curves
Introduction
- distinguishing linear and nonlinear models
Estimation
- determining unknown potency relative to a standard
Validation
- checking results against assumptions
Methods
- computing parameter estimates and statistics, as well as relative potency
Basic Example
- using a simple, one-time curve fit
Intermediate Example
- using a template for routine curve fitting
Advanced Example
- using custom applications for complex curve fitting
Nonlinear design
- designing the concentrations and assay replication that make the curve fitting optimal
Software
This course addresses JMP.
Course Materials
Students receive a hardcopy of the course notes and, in some courses, can choose to take home a copy of the course data.
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Not currently scheduled.
Available for
on-site training or can be scheduled at any SAS training facility
if demand warrants.
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