5 research outputs found

    Listening to the post-16 transition experiences of young people with a specific language impairment

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    Statistical characteristics for identified patient subgroup models. One table with statistical characteristics for each LCA approach. (PDF 115 kb

    Additional file 1: of Leg pain location and neurological signs relate to outcomes in primary care patients with low back pain

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    Unadjusted and adjusted# odds ratios (OR) for the comparison of the four Quebec Task Force categories (QTFC) and p-values for the effect of QTFC on outcomes before and after adjustment in the two cohorts. (DOCX 20 kb

    Additional file 1: Table A1. of Latent class analysis derived subgroups of low back pain patients – do they have prognostic capacity?

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    Presentation of Latent Class Analysis derived domain-specific patient categories for each of the six health domains. Table A2a. Baseline characteristics of Latent Class Analysis derived single-stage subgroups. Table A2b. Baseline characteristics of Latent Class Analysis derived two-stage subgroups. Table A3. Test of differences between responders and non-responders on the follow-up questionnaires. Table A4. Test of differences between compliant responders and non-compliant responders on the SMS questions over 12 months. (DOCX 55 kb
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