33 research outputs found

    Additional file 2: of The relationship between intolerance of uncertainty in chiropractic students and their treatment intervention choices

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    Explanation of 'correct' and 'incorrect' designation for the neck and low back case scenarios. (DOCX 18 kb

    Additional file 1: of Effect of lumbar spinal manipulation on local and remote pressure pain threshold and pinprick sensitivity in asymptomatic individuals: a randomised trial

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    Ipsilateral vs. Contralateral Changes in Pressure Pain Threshold and Pinprick Sensitivity. Description of data: Data tables and figures showing comparisons of change in PPT and PPS on ipsilateral and contralateral sides to SMT. (DOCX 81 kb

    Locus-Specific Predictive Accuracy.

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    <p>Each set of grouped bars, from darkest to lightest, represents, respectively, A-masking, B-masking, and C-masking. The number of masked alleles in each masking was 3012, 1418, 528, and 354, respectively, for the European, African, Asian, and Hispanic test sets.</p

    Results for population-augmented model.

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    <p>Abbreviations are: SSC = softmax+simple+conjunctive, SS = softmax+simple, S = simple, RM = regularized multinomial, M = non-regularized multinomial, AM = allele marginals, S = separate. The number of masked alleles in the test set was 514. For all methods, except ‘separate’, a single model was trained on data from all ethnicities.</p

    Results on private data, separately for each ethnicity.

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    <p>Each set of grouped bars represents the four different modeling approaches. From darkest to lightest: softmax, regularized multinomial, unregularized multinomial, allele marginal. The number of masked alleles, respectively, in the European, African, Asian, and Hispanic data sets was 2669, 1287, 477, and 306, respectively.</p

    Statistical Significance Results on Private Data, Separately for Each Ethnicity.

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    *<p>Denotes the method that performed better (except for the last row, where the allele marginals perform better than the unregularized multinomial on the log likelihood, but worse on the number of correct MAP predictions.</p
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