Multiple imputation with missing indicators as proxies for unmeasured variables: simulation study Tekijä Matthew Sperrin, Glen P. Martin

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Predictors of Outcome in Traumatic Brain Injury: New Insight Using Receiver Operating Curve Indices and Bayesian Network Analysis. Tekijä Zsolt Zador, Matthew Sperrin, Andrew T King

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Outcome-sensitive multiple imputation: a simulation study Tekijä Evangelos Kontopantelis, Ian R. White, Matthew Sperrin, Iain Buchan

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Dynamic models to predict health outcomes: current status and methodological challenges Tekijä David A. Jenkins, Matthew Sperrin, Glen P. Martin, Niels Peek

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Targeted validation: validating clinical prediction models in their intended population and setting Tekijä Matthew Sperrin, Richard D. Riley, Gary S. Collins, Glen P. Martin

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Defining, identifying and addressing problematic polypharmacy within multimorbidity in primary care: a scoping review Tekijä Matthew Sperrin, Darren Ashcroft, Rupert A Payne, Thomas Blakeman, Jung Yin Tsang

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A scoping review of causal methods enabling predictions under hypothetical interventions Tekijä Lijing Lin, Matthew Sperrin, David A. Jenkins, Glen P. Martin, Niels Peek

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A decision-analytical perspective on incorporating multiple outcomes in the production of clinical prediction models: defining a taxonomy of risk estimands Tekijä Glen P. Martin, Alexander Pate, Siân Bladon, Matthew Sperrin, Richard D. Riley

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Clinical prediction in defined populations: a simulation study investigating when and how to aggregate existing models Tekijä Glen P. Martin, Mamas A. Mamas, Niels Peek, Iain Buchan, Matthew Sperrin

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How unmeasured confounding in a competing risks setting can affect treatment effect estimates in observational studies Tekijä Michael Andrew Barrowman, Niels Peek, Mark Lambie, Glen Philip Martin, Matthew Sperrin

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Impact of sample size on the stability of risk scores from clinical prediction models: a case study in cardiovascular disease Tekijä Alexander Pate, Richard Emsley, Matthew Sperrin, Glen P. Martin, Tjeerd van Staa

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Protocol for the development and validation of a Polypharmacy Assessment Score Tekijä Jung Yin Tsang, Matthew Sperrin, Thomas Blakeman, Rupert A. Payne, Darren M. Ashcroft

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Post-2000 growth trajectories in children aged 4–11 years: A review and quantitative analysis Tekijä Heather A. Robinson, Rinita Dam, Lamiece Hassan, David Jenkins, Iain Buchan, Matthew Sperrin

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When to reinvite initially ineligible populations for targeted lung cancer screening? Tekijä Matthew Sperrin, Haval Balata, Richard Booton, Philip A J Crosbie, Zoe Merchant, Patrick Goodley

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Healthcare utilisation in patients with long-term conditions during the COVID-19 pandemic: a population-based observational study of all patients across Greater Manchester, UK Tekijä Matthew Sperrin, Stuart W Grant, Richard Williams, Camilla Sammut-Powell, Owain Thomas, N Peek

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Evaluation of biases present in the cohort multiple randomised controlled trial design: a simulation study Tekijä Jane Candlish, Alexander Pate, Matthew Sperrin, Tjeerd van Staa, on behalf of GetReal Work Package 2

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Six-year performance of risk-based selection for lung cancer screening in the Manchester Lung Health Check cohort Tekijä Matthew Sperrin, Haval Balata, Richard Booton, Hilary A Robbins, Philip A J Crosbie, Patrick Goodley

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Implementation of a prealert to improve in-hospital treatment of anticoagulant-associated strokes: analysis of a prehospital pathway change in a large UK centralised acute stroke s... Tekijä Matthew Sperrin, Christopher Ashton, Camilla Sammut-Powell, Emily Birleson, Duncan Mayoh, Adrian R Parry-Jones

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Engaging parents using web-based feedback on child growth to reduce childhood obesity: a mixed methods study Tekijä Rinita Dam, Heather Anne Robinson, Sarah Vince-Cain, Gill Heaton, Adam Greenstein, Matthew Sperrin, Lamiece Hassan

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Cohort Multiple Randomised Controlled Trials (cmRCT) design: efficient but biased? A simulation study to evaluate the feasibility of the Cluster cmRCT design Tekijä Alexander Pate, Jane Candlish, Matthew Sperrin, Tjeerd Pieter Van Staa, on behalf of GetReal Work Package 2

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