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matlab release r2015b  (MathWorks Inc)


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    MathWorks Inc matlab release r2015b
    A, The mean factor loadings from <t>each</t> <t>subgroup</t> within the discovery sample corresponding to functioning and quality of life (factor 1), suicide history (factor 2), depression symptoms and deficits (factor 3), environmental risk and male sex (factor 4), and psychosis symptoms and deficits (factor 5). B, The factor loadings separated for each subgroup containing the discovery sample factor loading (dark shade) and when the discovery sample factor loading solution was applied without modification to the replication sample factor loading (light shade). For the replication sample, the subgroup assignments were independent of the calculation of the sparse <t>nonnegative</t> <t>matrix</t> <t>factorization</t> components in the discovery sample.
    Matlab Release R2015b, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/matlab release r2015b/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    matlab release r2015b - by Bioz Stars, 2026-03
    90/100 stars

    Images

    1) Product Images from "An Investigation of Psychosis Subgroups With Prognostic Validation and Exploration of Genetic Underpinnings"

    Article Title: An Investigation of Psychosis Subgroups With Prognostic Validation and Exploration of Genetic Underpinnings

    Journal: JAMA Psychiatry

    doi: 10.1001/jamapsychiatry.2019.4910

    A, The mean factor loadings from each subgroup within the discovery sample corresponding to functioning and quality of life (factor 1), suicide history (factor 2), depression symptoms and deficits (factor 3), environmental risk and male sex (factor 4), and psychosis symptoms and deficits (factor 5). B, The factor loadings separated for each subgroup containing the discovery sample factor loading (dark shade) and when the discovery sample factor loading solution was applied without modification to the replication sample factor loading (light shade). For the replication sample, the subgroup assignments were independent of the calculation of the sparse nonnegative matrix factorization components in the discovery sample.
    Figure Legend Snippet: A, The mean factor loadings from each subgroup within the discovery sample corresponding to functioning and quality of life (factor 1), suicide history (factor 2), depression symptoms and deficits (factor 3), environmental risk and male sex (factor 4), and psychosis symptoms and deficits (factor 5). B, The factor loadings separated for each subgroup containing the discovery sample factor loading (dark shade) and when the discovery sample factor loading solution was applied without modification to the replication sample factor loading (light shade). For the replication sample, the subgroup assignments were independent of the calculation of the sparse nonnegative matrix factorization components in the discovery sample.

    Techniques Used: Modification



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    A, The mean factor loadings from <t>each</t> <t>subgroup</t> within the discovery sample corresponding to functioning and quality of life (factor 1), suicide history (factor 2), depression symptoms and deficits (factor 3), environmental risk and male sex (factor 4), and psychosis symptoms and deficits (factor 5). B, The factor loadings separated for each subgroup containing the discovery sample factor loading (dark shade) and when the discovery sample factor loading solution was applied without modification to the replication sample factor loading (light shade). For the replication sample, the subgroup assignments were independent of the calculation of the sparse <t>nonnegative</t> <t>matrix</t> <t>factorization</t> components in the discovery sample.
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    A, The mean factor loadings from <t>each</t> <t>subgroup</t> within the discovery sample corresponding to functioning and quality of life (factor 1), suicide history (factor 2), depression symptoms and deficits (factor 3), environmental risk and male sex (factor 4), and psychosis symptoms and deficits (factor 5). B, The factor loadings separated for each subgroup containing the discovery sample factor loading (dark shade) and when the discovery sample factor loading solution was applied without modification to the replication sample factor loading (light shade). For the replication sample, the subgroup assignments were independent of the calculation of the sparse <t>nonnegative</t> <t>matrix</t> <t>factorization</t> components in the discovery sample.
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    Image Search Results


    A, The mean factor loadings from each subgroup within the discovery sample corresponding to functioning and quality of life (factor 1), suicide history (factor 2), depression symptoms and deficits (factor 3), environmental risk and male sex (factor 4), and psychosis symptoms and deficits (factor 5). B, The factor loadings separated for each subgroup containing the discovery sample factor loading (dark shade) and when the discovery sample factor loading solution was applied without modification to the replication sample factor loading (light shade). For the replication sample, the subgroup assignments were independent of the calculation of the sparse nonnegative matrix factorization components in the discovery sample.

    Journal: JAMA Psychiatry

    Article Title: An Investigation of Psychosis Subgroups With Prognostic Validation and Exploration of Genetic Underpinnings

    doi: 10.1001/jamapsychiatry.2019.4910

    Figure Lengend Snippet: A, The mean factor loadings from each subgroup within the discovery sample corresponding to functioning and quality of life (factor 1), suicide history (factor 2), depression symptoms and deficits (factor 3), environmental risk and male sex (factor 4), and psychosis symptoms and deficits (factor 5). B, The factor loadings separated for each subgroup containing the discovery sample factor loading (dark shade) and when the discovery sample factor loading solution was applied without modification to the replication sample factor loading (light shade). For the replication sample, the subgroup assignments were independent of the calculation of the sparse nonnegative matrix factorization components in the discovery sample.

    Article Snippet: Subgroup Characterization Subgroups were clinically characterized by investigating NMF scores and comparing subgroups across baseline variables (using analysis of variance and χ 2 tests; MATLAB release R2015b; significance set at a false-discovery rate–corrected 2-tailed P value less than .05) based on previous research.

    Techniques: Modification