Using epidemiological evidence to forecast population need for early treatment programmes in mental health: a generalisable Bayesian prediction methodology applied to and validated... von McDonald, Keltie, Ding, Tao, Ker, Hannah, Dliwayo, Thandiwe Rebecca, Osborn, David P.J., Wohland, Pia, Coid, Jeremy W., French, Paul, Jones, Peter B., Baio, Gianluca, Kirkbride, James B.

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Eliciting the Impact of Digital Consulting for Young People Living With Long-Term Conditions (LYNC Study): Cognitive Interviews to Assess the Face and Content Validity of Two Patie... von Sturt, Jackie, Dliwayo, Thandiwe Rebecca, Forjaz, Vera, Hamilton, Kathryn, Bryce, Carol, Fraser, Joseph, Griffiths, Frances

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O1.3. BACK TO THE FUTURE: PREDICTING POPULATION NEED FOR PSYCHOSIS CARE BASED ON THE EPIDEMIOLOGY OF PSYCHOTIC DISORDERS IN ENGLAND, AN APPLIED BAYESIAN METHODOLOGY von McDonald, Keltie, Ding, Tao, Dliwayo, Rebecca, Osborn, David, Wohland, Pia, French, Paul, Baio, Gianluca, Jones, Peter, Kirkbride, James

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Timely Digital Patient-Clinician Communication in Specialist Clinical Services for Young People: A Mixed-Methods Study (The LYNC Study) von Griffiths, Frances, Bryce, Carol, Cave, Jonathan, Dritsaki, Melina, Fraser, Joseph, Hamilton, Kathryn, Huxley, Caroline, Ignatowicz, Agnieszka, Kim, Sung Wook, Kimani, Peter K, Madan, Jason, Slowther, Anne-Marie, Sujan, Mark, Sturt, Jackie

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Using epidemiological evidence to forecast population need for early treatment programmes in mental health: a generalisable Bayesian prediction methodology applied to and validated... von McDonald, Keltie, Ding, Tao, Ker, Hannah, Dliwayo, Thandiwe Rebecca, Osborn, David P J, Wohland, Pia, Coid, Jeremy W, French, Paul, Jones, Peter B, Baio, Gianluca, Kirkbride, James B

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