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  1. AU="Hutson, Alan D"
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  1. Book ; Online ; E-Book: Statistics in the health sciences

    Vexler, Albert / Hutson, Alan D.

    theory, applications, and computing

    2018  

    Author's details by Albert Vexler, Alan D. Hutson
    Keywords Medical statistics ; Medicine/Research/Statistical methods ; Epidemiology/Statistical methods ; Statistical hypothesis testing
    Subject code 610.21
    Language English
    Size 1 Online-Ressource (xviii, 397 Seiten), Illustrationen
    Publisher CRC Press, Taylor & Francis Group
    Publishing place Boca Raton
    Publishing country United States
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT019627213
    ISBN 978-1-315-29376-9 ; 9781315293752 ; 9781315293745 ; 9781315293776 ; 9781138196896 ; 1-315-29376-5 ; 1315293757 ; 1315293749 ; 1315293773 ; 1138196894
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

    Full text online

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  2. Book ; Online ; E-Book: Statistical testing strategies in the health sciences

    Vexler, Albert / Hutson, Alan D. / Chen, Xiwei

    2016  

    Author's details Albert Vexler, Alan D. Hutson, Xiwei Chen
    Language English
    Size 1 Online-Ressource (676 Seiten)
    Publisher CRC Press
    Publishing place Boca Raton
    Publishing country United States
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT019454326
    ISBN 978-1-4987-3084-6 ; 9781498730815 ; 1-4987-3084-1 ; 1498730817
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Article: The generalized sigmoidal quantile function.

    Hutson, Alan D

    Communications in statistics: Simulation and computation

    2022  Volume 53, Issue 2, Page(s) 799–813

    Abstract: In this note we introduce a new smooth nonparametric quantile function estimator based on a newly defined generalized expectile function and termed the sigmoidal quantile function estimator. We also introduce a hybrid quantile function estimator, which ... ...

    Abstract In this note we introduce a new smooth nonparametric quantile function estimator based on a newly defined generalized expectile function and termed the sigmoidal quantile function estimator. We also introduce a hybrid quantile function estimator, which combines the optimal properties of the classic kernel quantile function estimator with our new generalized sigmoidal quantile function estimator. The generalized sigmoidal quantile function can estimate quantiles beyond the range of the data, which is important for certain applications given smaller sample sizes. This property of extrapolation is illustrated in order to improve standard bootstrap smoothing resampling methods.
    Language English
    Publishing date 2022-02-28
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1476872-0
    ISSN 1532-4141 ; 0361-0918
    ISSN (online) 1532-4141
    ISSN 0361-0918
    DOI 10.1080/03610918.2022.2032161
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: An Accelerated Life Model Analog for Discrete Survival and Count Data.

    Hutson, Alan D

    Computer methods and programs in biomedicine

    2021  Volume 210, Page(s) 106337

    Abstract: Background and objective: Our goal is to provide an overall strategy for utilizing continuous accelerated life models in the discrete setting that provides a unique and flexible modeling approach across a variety of hazard shapes.: Methods: We ... ...

    Abstract Background and objective: Our goal is to provide an overall strategy for utilizing continuous accelerated life models in the discrete setting that provides a unique and flexible modeling approach across a variety of hazard shapes.
    Methods: We convert well-known continuous accelerated life distributions into their discrete counterpart and show theoretically that the existing software that currently exists to accommodate, left, right and interval censoring in the continuous case is re-usable in the discrete setting due to the structure of the likelihood equations.
    Results: We demonstrate across a variety of simulated and real-world data that our modeling approach can accommodate discrete data that may either be approximately symmetric, left-skewed or right skewed, overcoming the limitations of more traditional modeling approaches.
    Conclusions: We illustrate both theoretically and through simulations that our approach for accommodating discrete failure time and count data is quite flexible. We demonstrate that the special case of the discrete Weibull model readily can accommodate truly Poisson distributed data and has a great degree of flexibility for non-Poisson distributed data.
    MeSH term(s) Models, Statistical ; Software ; Survival Analysis
    Language English
    Publishing date 2021-08-18
    Publishing country Ireland
    Document type Journal Article ; Review
    ZDB-ID 632564-6
    ISSN 1872-7565 ; 0169-2607
    ISSN (online) 1872-7565
    ISSN 0169-2607
    DOI 10.1016/j.cmpb.2021.106337
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.B 521: Show issues Location:
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    ab Jg. 2022: Lesesaal (EG)

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  5. Article: A Characterization of Most(More) Powerful Test Statistics with Simple Nonparametric Applications.

    Vexler, Albert / Hutson, Alan D

    The American statistician

    2023  Volume 78, Issue 1, Page(s) 36–46

    Abstract: Data-driven most powerful tests are statistical hypothesis decision-making tools that deliver the greatest power against a fixed null hypothesis among all corresponding data-based tests of a given size. When the underlying data distributions are known, ... ...

    Abstract Data-driven most powerful tests are statistical hypothesis decision-making tools that deliver the greatest power against a fixed null hypothesis among all corresponding data-based tests of a given size. When the underlying data distributions are known, the likelihood ratio principle can be applied to conduct most powerful tests. Reversing this notion, we consider the following questions. (a) Assuming a test statistic, say
    Language English
    Publishing date 2023-04-18
    Publishing country England
    Document type Journal Article
    ZDB-ID 2064982-4
    ISSN 1537-2731 ; 0003-1305
    ISSN (online) 1537-2731
    ISSN 0003-1305
    DOI 10.1080/00031305.2023.2192746
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Exact inference around ordinal measures of association is often not exact.

    Hutson, Alan D / Yu, Han

    Computer methods and programs in biomedicine

    2023  Volume 240, Page(s) 107725

    Abstract: In this paper, we build upon the work of DiCiccio and Romano (2017) by extending their permutation test approach, based on the Pearson correlation coefficient in the continuous case, to ordinal measures of association. We investigate commonly used ... ...

    Abstract In this paper, we build upon the work of DiCiccio and Romano (2017) by extending their permutation test approach, based on the Pearson correlation coefficient in the continuous case, to ordinal measures of association. We investigate commonly used ordinal measures such as the Spearman correlation, Kendall's tau-b, and gamma, which are widely implemented in commercial and open-source software packages for exact testing routines based on generalized hypergeometric probabilities. Similar to DiCiccio and Romano's method, we apply studentization to correct the test statistic, which yields asymptotically valid inference for testing no ordinal association. We present a comprehensive theoretical framework for our approach, followed by a simulation study. Furthermore, we use toy examples to highlight the differences between the exact tests and the asymptotically valid tests. Our findings align with those of DiCiccio and Romano, indicating that exact permutation tests based on ordinal measures of association are often not exact, whereas the asymptotically correct tests perform well for moderate to large sample sizes.
    MeSH term(s) Computer Simulation ; Software ; Probability ; Sample Size
    Language English
    Publishing date 2023-07-19
    Publishing country Ireland
    Document type Journal Article
    ZDB-ID 632564-6
    ISSN 1872-7565 ; 0169-2607
    ISSN (online) 1872-7565
    ISSN 0169-2607
    DOI 10.1016/j.cmpb.2023.107725
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.B 521: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  7. Article: A semi-parametric bootstrap-based best linear unbiased estimator of location under symmetry.

    Hutson, Alan D

    Communications in statistics: Simulation and computation

    2020  Volume 51, Issue 9, Page(s) 5323–5332

    Abstract: In this note we provide a novel semi-parametric best linear unbiased estimator (BLUE) of location and its corresponding variance estimator under the assumption the random variate is generated from a symmetric location-scale family of distributions. The ... ...

    Abstract In this note we provide a novel semi-parametric best linear unbiased estimator (BLUE) of location and its corresponding variance estimator under the assumption the random variate is generated from a symmetric location-scale family of distributions. The approach follows in a two-stage fashion and is based on the exact bootstrap estimate of the covariance matrix of the order statistic. We generalize our approach to add a robustness component in order to derive a trimmed BLUE of location under a semi-parametric symmetry assumption.
    Language English
    Publishing date 2020-06-01
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1476872-0
    ISSN 1532-4141 ; 0361-0918
    ISSN (online) 1532-4141
    ISSN 0361-0918
    DOI 10.1080/03610918.2020.1769131
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Inferential procedures based on the weighted Pearson correlation coefficient test statistic.

    Yu, Han / Hutson, Alan D

    Journal of applied statistics

    2022  Volume 51, Issue 3, Page(s) 481–496

    Abstract: In this note, we evaluated the type I error control of the commonly ... ...

    Abstract In this note, we evaluated the type I error control of the commonly used
    Language English
    Publishing date 2022-10-25
    Publishing country England
    Document type Journal Article
    ZDB-ID 1476802-1
    ISSN 1360-0532 ; 0266-4763
    ISSN (online) 1360-0532
    ISSN 0266-4763
    DOI 10.1080/02664763.2022.2137477
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: The Sign Test, Paired Data, and Asymmetric Dependence: A Cautionary Tale.

    Hutson, Alan D / Yu, Han

    The American statistician

    2022  Volume 77, Issue 1, Page(s) 35–40

    Abstract: In the paired data setting, the sign test is often described in statistical textbooks as a test for comparing differences between the medians of two marginal distributions. There is an implicit assumption that the median of the differences is equivalent ... ...

    Abstract In the paired data setting, the sign test is often described in statistical textbooks as a test for comparing differences between the medians of two marginal distributions. There is an implicit assumption that the median of the differences is equivalent to the difference of the medians when employing the sign test in this fashion. We demonstrate however that given asymmetry in the bivariate distribution of the paired data, there are often scenarios where the median of the differences is not equal to the difference of the medians. Further, we show that these scenarios will lead to a false interpretation of the sign test for its intended use in the paired data setting. We illustrate the false-interpretation concept via theory, a simulation study, and through a real-world example based on breast cancer RNA sequencing data obtained from the Cancer Genome Atlas (TCGA).
    Language English
    Publishing date 2022-09-23
    Publishing country England
    Document type Journal Article
    ZDB-ID 2064982-4
    ISSN 1537-2731 ; 0003-1305
    ISSN (online) 1537-2731
    ISSN 0003-1305
    DOI 10.1080/00031305.2022.2110938
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: A robust Spearman correlation coefficient permutation test.

    Yu, Han / Hutson, Alan D

    Communications in statistics: theory and methods

    2022  Volume 53, Issue 6, Page(s) 2141–2153

    Abstract: In this work, we show that Spearman's correlation coefficient test ... ...

    Abstract In this work, we show that Spearman's correlation coefficient test about
    Language English
    Publishing date 2022-09-09
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1476983-9
    ISSN 1532-415X ; 0361-0926
    ISSN (online) 1532-415X
    ISSN 0361-0926
    DOI 10.1080/03610926.2022.2121144
    Database MEDical Literature Analysis and Retrieval System OnLINE

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