Optimal Allocation of Replicates for Measurement Evaluation Studies

Stanislav O. Zakharkin, Kyoungmi Kim, Alfred A. Bartolucci, Grier P. Page, David B. Allison

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Optimal experimental design is important for the efficient use of modern high-throughput technologies such as microarrays and proteomics. Multiple factors including the reliability of measurement system, which itself must be estimated from prior experimental work, could influence design decisions. In this study, we describe how the optimal number of replicate measures (technical replicates) for each biological sample (biological replicate) can be determined. Different allocations of biological and technical replicates were evaluated by minimizing the variance of the ratio of technical variance (measurement error) to the total variance (sum of sampling error and measurement error). We demonstrate that if the number of biological replicates and the number of technical replicates per biological sample are variable, while the total number of available measures is fixed, then the optimal allocation of replicates for measurement evaluation experiments requires two technical replicates for each biological replicate. Therefore, it is recommended to use two technical replicates for each biological replicate if the goal is to evaluate the reproducibility of measurements.

Original languageEnglish (US)
Pages (from-to)196-202
Number of pages7
JournalGenomics, Proteomics and Bioinformatics
Volume4
Issue number3
DOIs
StatePublished - Aug 2006

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Selection Bias
Optimal Allocation
Proteomics
Research Design
Technology
Measurement errors
Evaluation
Measurement Error
Microarrays
Optimal Experimental Design
Design of experiments
Reproducibility
Measurement System
Throughput
Microarray
Sampling
High Throughput
Evaluate
Experiments
Demonstrate

Keywords

  • experimental design
  • measurement
  • microarrays
  • proteomics

ASJC Scopus subject areas

  • Genetics
  • Biochemistry
  • Molecular Biology

Cite this

Optimal Allocation of Replicates for Measurement Evaluation Studies. / Zakharkin, Stanislav O.; Kim, Kyoungmi; Bartolucci, Alfred A.; Page, Grier P.; Allison, David B.

In: Genomics, Proteomics and Bioinformatics, Vol. 4, No. 3, 08.2006, p. 196-202.

Research output: Contribution to journalArticle

Zakharkin, Stanislav O. ; Kim, Kyoungmi ; Bartolucci, Alfred A. ; Page, Grier P. ; Allison, David B. / Optimal Allocation of Replicates for Measurement Evaluation Studies. In: Genomics, Proteomics and Bioinformatics. 2006 ; Vol. 4, No. 3. pp. 196-202.
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