Demasking large dummy effects approach in revealing important interactions in Plackett-Burman experimental design
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2012
Authors
Rakić, TijanaJančić-Stojanović, Biljana
Malenović, Anđelija
Ivanović, Darko
Medenica, Mirjana
Article (Published version)
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Show full item recordAbstract
This paper presents a newly developed demasking large dummy effects (DDE) approach for identification of significant factor interactions in Plackett-Burman experimental design. Dummy factors, as imaginary factors, are not expected to contribute to the model, so the appearance of their high effect values could indicate the significance of the interactions they are confounded with. DDE approach consists of the screening of the large estimable effects, the calculation of the interactions that contribute the most to the large dummy effects from the alias matrix, and a single pass of all subsets regressions including preselected interactions and main factors for the final model tuning. Tested on experimentally obtained data from a robustness analysis of a method for the determination of raloxifene and its four impurities, DDE approach showed to create the models that have greater statistical power than the ones described with the main factors only, which makes them more reliable and accurat...e for the application. Additionally, because of the interactions selection criterion and final tuning phase of the strategy, DDE approach allows the creation of models that are likely to better describe the real systems, which increases the practical value. Copyright
Keywords:
demasking large dummy effects (DDE) approach / Plackett-Burman design / robustness / all subsets regressions / raloxifeneSource:
Journal of Chemometrics, 2012, 26, 10, 518-525Publisher:
- Wiley, Hoboken
Funding / projects:
- Modelling of different chromatographic systems with chemometrical approach in pharmaceutical analysis (RS-MESTD-Basic Research (BR or ON)-172052)
DOI: 10.1002/cem.2461
ISSN: 0886-9383
WoS: 000312547700003
Scopus: 2-s2.0-84867332795
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PharmacyTY - JOUR AU - Rakić, Tijana AU - Jančić-Stojanović, Biljana AU - Malenović, Anđelija AU - Ivanović, Darko AU - Medenica, Mirjana PY - 2012 UR - https://farfar.pharmacy.bg.ac.rs/handle/123456789/1646 AB - This paper presents a newly developed demasking large dummy effects (DDE) approach for identification of significant factor interactions in Plackett-Burman experimental design. Dummy factors, as imaginary factors, are not expected to contribute to the model, so the appearance of their high effect values could indicate the significance of the interactions they are confounded with. DDE approach consists of the screening of the large estimable effects, the calculation of the interactions that contribute the most to the large dummy effects from the alias matrix, and a single pass of all subsets regressions including preselected interactions and main factors for the final model tuning. Tested on experimentally obtained data from a robustness analysis of a method for the determination of raloxifene and its four impurities, DDE approach showed to create the models that have greater statistical power than the ones described with the main factors only, which makes them more reliable and accurate for the application. Additionally, because of the interactions selection criterion and final tuning phase of the strategy, DDE approach allows the creation of models that are likely to better describe the real systems, which increases the practical value. Copyright PB - Wiley, Hoboken T2 - Journal of Chemometrics T1 - Demasking large dummy effects approach in revealing important interactions in Plackett-Burman experimental design VL - 26 IS - 10 SP - 518 EP - 525 DO - 10.1002/cem.2461 ER -
@article{ author = "Rakić, Tijana and Jančić-Stojanović, Biljana and Malenović, Anđelija and Ivanović, Darko and Medenica, Mirjana", year = "2012", abstract = "This paper presents a newly developed demasking large dummy effects (DDE) approach for identification of significant factor interactions in Plackett-Burman experimental design. Dummy factors, as imaginary factors, are not expected to contribute to the model, so the appearance of their high effect values could indicate the significance of the interactions they are confounded with. DDE approach consists of the screening of the large estimable effects, the calculation of the interactions that contribute the most to the large dummy effects from the alias matrix, and a single pass of all subsets regressions including preselected interactions and main factors for the final model tuning. Tested on experimentally obtained data from a robustness analysis of a method for the determination of raloxifene and its four impurities, DDE approach showed to create the models that have greater statistical power than the ones described with the main factors only, which makes them more reliable and accurate for the application. Additionally, because of the interactions selection criterion and final tuning phase of the strategy, DDE approach allows the creation of models that are likely to better describe the real systems, which increases the practical value. Copyright", publisher = "Wiley, Hoboken", journal = "Journal of Chemometrics", title = "Demasking large dummy effects approach in revealing important interactions in Plackett-Burman experimental design", volume = "26", number = "10", pages = "518-525", doi = "10.1002/cem.2461" }
Rakić, T., Jančić-Stojanović, B., Malenović, A., Ivanović, D.,& Medenica, M.. (2012). Demasking large dummy effects approach in revealing important interactions in Plackett-Burman experimental design. in Journal of Chemometrics Wiley, Hoboken., 26(10), 518-525. https://doi.org/10.1002/cem.2461
Rakić T, Jančić-Stojanović B, Malenović A, Ivanović D, Medenica M. Demasking large dummy effects approach in revealing important interactions in Plackett-Burman experimental design. in Journal of Chemometrics. 2012;26(10):518-525. doi:10.1002/cem.2461 .
Rakić, Tijana, Jančić-Stojanović, Biljana, Malenović, Anđelija, Ivanović, Darko, Medenica, Mirjana, "Demasking large dummy effects approach in revealing important interactions in Plackett-Burman experimental design" in Journal of Chemometrics, 26, no. 10 (2012):518-525, https://doi.org/10.1002/cem.2461 . .