calibmsm: An R package for calibration plots of the transition probabilities in a multistate model by Alexander Pate, Matthew Sperrin, Richard D. Riley, Ben Van Calster, Glen P. Martin

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Individual participant data (IPD) meta-analyses of diagnostic and prognostic modeling studies: guidance on their use. by Thomas P A Debray, Richard D Riley, Maroeska M Rovers, Johannes B Reitsma, Karel G M Moons, Cochrane IPD Meta-analysis Methods group

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Prognosis Research Strategy (PROGRESS) 3: prognostic model research. by Ewout W Steyerberg, Karel G M Moons, Danielle A van der Windt, Jill A Hayden, Pablo Perel, Sara Schroter, Richard D Riley, Harry Hemingway, Douglas G Altman, PROGRESS Group

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Extended sample size calculations for evaluation of prediction models using a threshold for classification by Rebecca Whittle, Joie Ensor, Lucinda Archer, Gary S. Collins, Paula Dhiman, Alastair Denniston, Joseph Alderman, Amardeep Legha, Maarten van Smeden, Karel G. Moons, Jean-Baptiste Cazier, Richard D. Riley, Kym I. E Snell

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A decomposition of Fisher’s information to inform sample size for developing or updating fair and precise clinical prediction models for individual risk—part 1: binary outcomes by Richard D. Riley, Gary S. Collins, Rebecca Whittle, Lucinda Archer, Kym I. E. Snell, Paula Dhiman, Laura Kirton, Amardeep Legha, Xiaoxuan Liu, Alastair K. Denniston, Frank E. Harrell, Laure Wynants, Glen P. Martin, Joie Ensor

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Developing a multivariable prediction model to support personalized selection among five major empirically-supported treatments for adult depression. Study protocol of a systematic... by Ellen Driessen, Orestis Efthimiou, Frederik J Wienicke, Jasmijn Breunese, Pim Cuijpers, Thomas P A Debray, David J Fisher, Marjolein Fokkema, Toshiaki A Furukawa, Steven D Hollon, Anuj H P Mehta, Richard D Riley, Madison R Schmidt, Jos W R Twisk, Zachary D Cohen

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Development and validation of a prognostic model to predict relapse in adults with remitted depression in primary care: secondary analysis of pooled individual participant data fro... by Simon Gilbody, Dean McMillan, Bob Phillips, Kym I E Snell, Richard D Riley, David A Richards, Jaime Delgadillo, Shehzad Ali, Chris Salisbury, Lewis W Paton, Lucinda Archer, Peter A Coventry, Stephen Pilling, Andrew S Moriarty, Joshua E J Buckman, Nick Meader, Carolyn A Chew Graham

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TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods: a Korean translation by Gary S. Collins, Karel G. M. Moons, Paula Dhiman, Richard D. Riley, Andrew L. Beam, Ben Van Calster, Marzyeh Ghassemi, Xiaoxuan Liu, Johannes B. Reitsma, Maarten van Smeden, Anne-Laure Boulesteix, Jennifer Catherine Camaradou, Leo Anthony Celi, Spiros Denaxas, Alastair K. Denniston, Ben Glocker, Robert M. Golub, Hugh Harvey, Georg Heinze, Michael M. Hoffman, André Pascal Kengne, Emily Lam, Naomi Lee, Elizabeth W. Loder, Lena Maier-Hein, Bilal A. Mateen, Melissa D. McCradden, Lauren Oakden-Rayner, Johan Ordish, Richard Parnell, Sherri Rose, Karandeep Singh, Laure Wynants, Patricia Logullo

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Maternal and child outcomes for pregnant women with pre-existing multiple long-term conditions: protocol for an observational study in the UK by Christopher Yau, Catherine Nelson-Piercy, Krishnarajah Nirantharakumar, Richard D Riley, Anuradhaa Subramanian, Peter Brocklehurst, Sinead Brophy, Maria Loane, Helen Dolk, Shakila Thangaratinam, Muhammad Usman, Dermot O’Reilly, Jingya Wang, Colin McCowan, Louise Locock, Holly Hope, Francesca Crowe, Siang Ing Lee, Rachel Plachcinski, Utkarsh Agrawal, Amaya Azcoaga-Lorenzo, Gillian Santorelli, Beck Taylor, Mairead Black, Adeniyi Francis Fagbamigbe, Christine Damase-Michel, Ngawai Moss, Katherine Phillips, Kelly-Ann Eastwood, Astha Anand, Jonathan Ian Kennedy, Kathryn Mary Abel, Lisa Kent, Steven Wambua, Sharon McCann, Megha Singh, Mohamed Mhereeg, Neil Cockburn, Sudasing Pathirannehelage Buddhika Hemali Sudasinghe, Zoe Vowles, Charles Gadd, Stephanie Hanley, Natalia Hong

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