Searched for: author%3A%22Schoen%2C+E.D.%22
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Schoen, E.D. (author), Eendebak, P.T. (author), Vazquez, A.R. (author), Goos, P. (author)
Conference designs are n×k matrices, k ≤ n,with orthogonal columns, one zero in each column, at most one zero in each row, and−1 and+1 entries elsewhere. Conference designs with k = n are called conference matrices. Definitive screening designs (DSDs) are constructed by folding over a conference design and adding a row vector of zeros.We...
article 2022
document
Eendebak, P.T. (author), Schoen, E.D. (author), Vazquez, A.R. (author), Goos, P. (author)
The first dedicated algorithm to enumerate even-odd designs of strength 3 is presented. Such designs cannot be constructed by folding over smaller designs, but they may permit simultaneous estimation of many more two-factor interactions than designs that can be constructed by folding over. In the algorithm, enumeration is restricted to the...
article 2022
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Vo-Thanh, N. (author), Schoen, E.D. (author), Goos, P. (author)
Row–column designs involve two crossed blocking factors. We propose three combinatorial criteria and a criterion based on D-efficiency to identify optimal row–column arrangements of fractional factorial two-level designs. We search for such arrangements in complete catalogs of 16-run and 24-run orthogonal arrays of strength 2 with two-level...
article 2020
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Vazquez, A.R. (author), Schoen, E.D. (author), Goos, P. (author)
After completing the experimental runs of a screening design, the responses under study are analyzed by statistical methods to detect the active effects. To increase the chances of correctly identifying these effects, a good analysis method should provide alternative interpretations of the data, reveal the aliasing present in the design, and...
article 2020
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Vazquez, A.R. (author), Goos, P. (author), Schoen, E.D. (author)
Definitive screening designs permit the study of many quantitative factors in a few runs more than twice the number of factors. In practical applications, researchers often require a design for m quantitative factors, construct a definitive screening design for more than m factors and drop the superfluous columns. This is done when the number of...
article 2020
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Vo-Thanh, N. (author), Goos, P. (author), Schoen, E.D. (author)
Design of experiments is an effective, generic methodology for problem solving as well as for improving or optimizing product design and manufacturing processes. The most commonly used experimental designs are two-level fractional factorial designs. In recent years, nonregular fractional factorial two-level experimental designs have gained much...
article 2020
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Schoen, E.D. (author), Wopereis, S. (author)
BACKGROUND: Parallel intervention studies involving volunteers usually require a procedure to allocate the subjects to study-arms. Statistical models to evaluate the different outcomes of the study-arms will include study-arm as a factor along with any covariate that might affect the results. To ensure that the effects of the covariates are...
article 2020
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Schoen, E.D. (author), Eendebak, P.T. (author), Goos, P. (author)
A conference design is a rectangular matrix with orthogonal columns, one zero in each column, at most one zero in each row and -1's and +1's elsewhere. A definitive screening design can be constructed by folding over a conference design and adding a row vector of zeroes. We prove that, for a given even number of rows, there is just one...
article 2019
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Schoen, E.D. (author), Vo-Thanh, N. (author), Goos, P. (author)
Much research has been done concerning 24-run orthogonal two-level designs involving 3–23 factors and 28-run orthogonal two-level designs involving 3–27 factors. The focus of this research was on completely randomized screening designs and led to lists of recommended designs for each number of factors. When using the recommended designs, there...
article 2019
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Goos, P. (author), Schoen, E.D. (author)
article 2019
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Vazquez, A.R. (author), Goos, P. (author), Schoen, E.D. (author)
Two-level orthogonal arrays of N runs, k factors, and a strength of 3 provide suitable fractional factorial designs in situations where many of the main effects are expected to be active, as well as some two-factor interactions. If they consist of N/2 mirror image pairs, these designs are fold-over designs. They are called even and provide at...
article 2019
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Vo-Thanh, N. (author), Jans, R. (author), Schoen, E.D. (author), Goos, P. (author)
Two-level orthogonal designs play an important role in industrial screening experiments, in which the primary goal is to identify the treatment factors with the largest main effects on the output of a process or the performance of a product. Often, the experimental tests suggested by the orthogonal designs cannot be performed on a single day or...
article 2018
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Eendebak, P.T. (author), Schoen, E.D. (author)
We study the design of two-level experiments with N runs and n factors large enough to estimate the interaction model, which contains all the main effects and all the two-factor interactions. Yet, an effect hierarchy assumption suggests that main effect estimation should be given more prominence than the estimation of two-factor interactions....
article 2017
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Schoen, E.D. (author), Vo-Thanh, N. (author), Goos, P. (author)
The potential of two-level orthogonal designs to fit models with main effects and two-factor interaction effects is commonly assessed through the correlation between contrast vectors involving these effects. We study the complete catalog of nonisomorphic orthogonal two-level 24-run designs involving 3–23 factors and we identify the best few...
article 2017
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Kooter, I.M. (author), Grollers-Mulderij, M. (author), Steenhof, M. (author), Duistermaat, E. (author), van Acker, F.A.A. (author), Staal, Y.C.M. (author), Tromp, P.C. (author), Schoen, E.D. (author), Kuiper, C.F. (author), van Someren, E.P. (author)
There is a need for representative in vitro models to assess the effects of airborne particles on lung health. The ob-jective of this study was to assess the cellular effects of cerium oxide (Ce02) particles exposed via an air—liquid interface in three relevant cell models in parallel. BEAS-2B, A549, and MucilAirTM cells were exposed for 1 hour...
article 2016
document
Eendebak, P.T. (author), Schoen, E.D. (author)
We study the design of two-level experiments with N runs and n factors large enough to estimate the interaction model, which contains all the main effects and all the two-factor interactions. Yet, an effect hierarchy assumption suggests that main effect estimation should be given more prominence than the estimation of two-factor interactions....
article 2016
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Schoen, E.D. (author), Sartono, B. (author), Goos, P. (author)
This paper presents a general method for finding optimal blocking arrangements of pure-level and mixed-level orthogonal designs of resolution 3. The method requires enumeration of all nonisomorphic 'full designs' that include the treatment factors as well as the blocking factor. For all these designs, generalized word counts expressing the...
article 2013
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Schoen, E.D. (author), Rubingh, C.M. (author), Wopereis, S. (author), van Erk, M. (author)
Background: The False Discovery Rate (FDR) controls the expected number of false positives among the positive test results. It is not straightforward how to conduct a FDR controlling procedure in experiments with a factorial structure, while at the same time there are between-subjects and within-subjects factors. This is because there are P...
article 2013
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Schoen, E.D. (author), van der Voort Maarschalk, K. (author)
Introduction: An early decision on the design space of a pharmaceutical could imply that some process parameter is to be held fixed during production. Therefore, the effect of such a parameter is not studied in the exploration of the design space with statistically designed experiments. Later decisions may necessitate a changed setting of the...
article 2012
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Schoen, E.D. (author)
article 2012
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