The DOI matches its Crossref record.
Design of Experiments: Concept and Applications of Plackett Burman Design
Abstract
Application of statistics has broadened far beyond its origin to various areas of research and one among them is the design of experiments. Design of experiments gathers the maximum amount of information in the lowest number of analyses. In order to optimize a process and maintain repeatability, screening designs are performed. A two-level, mathematically derived multiples of four screening design, popularly known as Plackett-Burman screening design, is thoroughly reviewed in this paper. Application of this design in various areas of research such as formulation development and analytical development has also been focused to explore its potential in screening unbiased estimates of all main effects in the smallest design.
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PBD is an effective method for screening the influence of several factors on a response.
“PBD is an effective method for screening the influence of several factors on the response [31].”
From Screening and optimization of extracellular pectinase produced by Bacillus thuringiensis SH7 (2023) · cites this paper as [31]
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Cited by
Sorted by citations
Abuhena, M., Al-Rashid, J., Azim, M. F., Khan, M. N. M., Kabir, M. G., Barman, N. C., Rasul, N. M., Akter, S., & Huq, M. A. (2022) · Scientific Reports · doi:10.1038/s41598-022-15366-5 · Cited by 50
Screening and optimization of extracellular pectinase produced by Bacillus thuringiensis SH7
Umar, M., Rehman, A., Khan, I., Hayat, P., Hayat, A., Rehman, M. U., Shah, T. A., Dawoud, T. M., Hadrach, S., & Bourhia, M. (2023) · Open Chemistry · doi:10.1515/chem-2022-0358 · Cited by 8
“PBD is an effective method for screening the influence of several factors on the response [31].”
Method
Metadata
- Authors
- Vanaja, K., & Shobha Rani, R. H.
- Affiliations
- Al-Ameen College of Pharmacy (IN)
- ORCID
- Vanaja, K.
- Venue
- Clinical Research and Regulatory Affairs
- Publisher
- Informa UK Limited
- Published
- 2007-01
- Volume
- 24
- Issue
- 1
- Pages
- 1-23
- ISSN
- 1060-1333 (ISSN-L)
- 1532-2521
- OpenAlex
- W1980086200
- Cited by
- 254
- References
- 0
- Citations by year
- 2026: 19 · 2025: 35 · 2024: 42 · 2023: 35 · 2022: 30 · 2021: 22 · 2020: 23 · 2019: 16 · 2018: 9 · 2017: 6 · 2016: 1 · 2015: 5 · 2013: 3 · 2012: 2
- FWCI
- 1.44
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Clinical Research and Regulatory Affairs (publishedVersion)
- Funders
- U.S. Department of Energy
- Indian Council of Medical Research
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Optimal Experimental Design Methods
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Keywords
- Plackett-Burman design, screening designs, two-level factorial designs, main effects estimation, process optimization, formulation development, analytical method development, experimental design
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