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September 18–21, 2016

Sheraton Hotel, Dallas, Texas

14

SUNDAY, SEPTEMBER 18, 2016

8:30 am – 12:00 pm

Statistics Committee Workshop: Data Analysis for

Microbiological Method Validation Studies

This workshop will explain and teach participants the

statistical data analyses used in microbiological method

validation studies as required by AOAC Guidelines

Appendix J. Appendix J was adopted in 2012 as the

guideline for validating AOAC OMA and PTM methods

for microbiological analytes. The workshop will cover

procedures and software used for both qualitative and

quantitative methods for single-lab and multi-lab studies.

The workshop will be targeted for method developers, kit

manufacturers, ERP members, method reviewers, and

method users. New and improved statistical workbooks

will be introduced and demonstrated at this workshop.

CHAIR:

Paul Wehling,

Medallion Laboratories/

General Mills

Paul Wehling,

Medallion Laboratories/

General Mills

Sharon Brunelle,

AOAC Technical Consultant

Maria Nelson,

AOAC Technical Consultant

1:00 pm – 4:30 pm

TDLM Training Session: Method Validation and

Statistics—A Case Study

This workshop will explain the basic statistics necessary

for method validation such as regression analysis, ANOVA

for precision estimation, and Design of Experiments (DOE).

There are many guides and there have been many training

sessions on method validation. This workshop will build on

these by presenting a completed method validation for a

specific case. The HOW TO use statistics when validating

a method will be presented and emphasized.

The workshop will be given in the following parts.

Part I

The test method will be a quantitative method used from

the Limit of Quantitation to a high concentration. The

acceptance criteria will be given. This means the following

performance characteristics need to be included in the

method validation: selectivity, linearity, trueness (bias)

(accuracy), repeatability, intermediate precision, limit of

detection, limit of quantitation, measurement uncertainty.

The test method will be presented and then the attendees

will discuss what they would validate and how. They will

design the experiments to be performed for the method

validation.

Part II

The experiments and statistical tools for evaluating the

experiments for the case study will be presented.

Part III

The DOE (ANOVA), or AOAC ruggedness test, or simplex

DOE will be presented.

Part IV

The experimental results will be compared to the

acceptance criteria. A brief method validation report will

be presented.

An EXCEL spreadsheet will be distributed to the

attendees. These EXCEL files will be used, so the

attendees should bring their own laptops to the workshop.

CO-CHAIR:

Jane Weitzel,

Consultant

CO-CHAIR:

Franz Ulberth,

European Commission

- Institute for Reference Materials and

Measurements

Jane Weitzel,

Independent Consultant

Part I Introduction to the Case Study

Franz Ulberth,

European Commission - JRC - IRMM

Part II Experiments and Statistical Evaluation for

Method Validation

Susan Audino,

Audino & Associates, LLC

Part III Simplex Experiments for Method Validation

Jane Weitzel,

Independent Consultant

Part IV The Method Validation Report

SCIENTIFIC

SESSIONS