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DESCRIPTION OF AOAC STATISTICS COMMITTEE GENERATED DOCUMENTS
ALTERNATIVE APROACHES FOR MULTI‐LAB STUDY DOCUMNTS.
Alternative approaches approved by Committee on Statistics and by OMB.
1.
*tr322‐SAIS‐XXXV‐Reproducibility‐from‐PT‐data.pdf: Discussion on how
to obtain reproducibility from proficiency test data, and the issues
involved.
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2
2.
tr333‐SAIS‐XLII‐guidelines‐for‐use‐of‐PT‐data.pdf: Recommended use
of proficiency test data for estimating repeatability and reproducibility. ………………………………
8
3.
*tr324‐SAIS‐XXXVII‐Incremental‐collaborative‐studies.pdf: Proposed
incremental collaborative studies to find repeatability and
reproducibility via a sequential series of experiments.
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11
4.
tr326‐SAIS‐XXXIX‐Min‐degr‐freed‐for‐random‐factor‐estimation.pdf:
The relationship of number of replicates or number of collaborators to
precision of standard deviation for repeatability or reproducibility.
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19
5.
tr323‐SAIS‐XXXVI‐When‐robust‐statistics‐make‐sense.pdf: Caveats and
recommendations on the use of so‐called ‘robust’ statistics in
accreditation studies.
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21
TRADITIONAL PATHWAY MULTI‐LAB STUDY DOCUMENTS AND INSTRUMENTS.
Traditional study approach spreadsheet remaining as part of acceptable approaches.
6.
JAOAC 2006 89.3.797_Foster_Lee1.pdf: Journal article by Foster and
Lee on the number of collaborators needed to estimate accurately a
relative standard deviation for reproducibility.
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29
7.
LCFMPNCalculator.exe: This program analyzes serial dilution assay data
to obtain a most probable number estimate of concentration with
confidence interval.
Separate Program
8.
AOAC_BlindDup_v2‐1.xls: This workbook analyzes multi‐collaborative
study data with up to 4 replicates and reports all necessary statistics
concerning repeatability and reproducibility for quantitative studies.
Separate Program
9.
AOAC‐binary‐v2‐3.xls: This workbook analyzes multi‐collaborative
study data with arbitrary number of replicates and reports all
necessary statistics, including POD, repeatability and reproducibility
with confidence intervals, for binary (presence/absence) qualitative
studies.
Separate Program
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