A Bayesian hierarchical surrogate outcome model for multiple sclerosis von Pozzi, Luca, Schmidli, Heinz, Ohlssen, David I.

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Use of the false discovery rate when comparing multiple health care providers von Jones, Hayley E, Ohlssen, David I, Spiegelhalter, David J

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Bayesian models for subgroup analysis in clinical trials von Jones, Hayley E, Ohlssen, David I, Neuenschwander, Beat, Racine, Amy, Branson, Michael

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hierarchical modelling framework for identifying unusual performance in health care providers von Ohlssen, David I, Sharples, Linda D, Spiegelhalter, David J

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A deep learning approach to private data sharing of medical images using conditional generative adversarial networks (GANs) von Sun, Hanxi, Plawinski, Jason, Subramaniam, Sajanth, Jamaludin, Amir, Kadir, Timor, Readie, Aimee, Ligozio, Gregory, Ohlssen, David, Baillie, Mark, Coroller, Thibaud

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Flexible random-effects models using Bayesian semi-parametric models: applications to institutional comparisons von Ohlssen, D. I., Sharples, L. D., Spiegelhalter, D. J.

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Using knockoffs for controlled predictive biomarker identification von Sechidis, Konstantinos, Kormaksson, Matthias, Ohlssen, David

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Risk scoring for time to end-stage knee osteoarthritis: data from the Osteoarthritis Initiative von Dunn, R., Greenhouse, J., James, D., Ohlssen, D., Mesenbrink, P.

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All that Glitters Is not Gold: Type‐I Error Controlled Variable Selection from Clinical Trial Data von Zimmermann, Manuela R., Baillie, Mark, Kormaksson, Matthias, Ohlssen, David, Sechidis, Konstantinos

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Sequential knockoffs for continuous and categorical predictors: With application to a large psoriatic arthritis clinical trial pool von Kormaksson, Matthias, Kelly, Luke J., Zhu, Xuan, Haemmerle, Sibylle, Pricop, Luminita, Ohlssen, David

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A Flexible Bayesian Approach for Modeling Monotonic Dose-Response Relationships in Drug Development Trials von Ohlssen, David, Racine, Amy

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Comparing algorithms for characterizing treatment effect heterogeneity in randomized trials von Sun, Sophie, Sechidis, Konstantinos, Chen, Yao, Lu, Jiarui, Ma, Chong, Mirshani, Ardalan, Ohlssen, David, Vandemeulebroecke, Marc, Bornkamp, Björn

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Predicting subgroup treatment effects for a new study: Motivations, results and learnings from running a data challenge in a pharmaceutical corporation von Bornkamp, Björn, Zaoli, Silvia, Azzarito, Michela, Martin, Ruvie, Müller, Carsten Philipp, Moloney, Conor, Capestro, Giulia, Ohlssen, David, Baillie, Mark

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Methodology for Good Machine Learning with Multi‐Omics Data von Coroller, Thibaud, Sahiner, Berkman, Amatya, Anup, Gossmann, Alexej, Karagiannis, Konstantinos, Moloney, Conor, Samala, Ravi K., Santana‐Quintero, Luis, Solovieff, Nadia, Wang, Craig, Amiri‐Kordestani, Laleh, Cao, Qian, Cha, Kenny H., Charlab, Rosane, Cross, Frank H., Hu, Tingting, Huang, Ruihao, Kraft, Jeffrey, Krusche, Peter, Li, Yutong, Li, Zheng, Mazo, Ilya, Paul, Rahul, Schnakenberg, Susan, Serra, Paolo, Smith, Sean, Song, Chi, Su, Fei, Tiwari, Mohit, Vechery, Colin, Xiong, Xin, Zarate, Juan Pablo, Zhu, Hao, Chakravartty, Arunava, Liu, Qi, Ohlssen, David, Petrick, Nicholas, Schneider, Julie A., Walderhaug, Mark, Zuber, Emmanuel

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Conflict Diagnostics in Directed Acyclic Graphs, with Applications in Bayesian Evidence Synthesis von Presanis, Anne M., Ohlssen, David, Spiegelhalter, David J., De Angelis, Daniela

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Characterization of dose-response for count data using a generalized MCP-Mod approach in an adaptive dose-ranging trial von Mercier, Francois, Bornkamp, Bjoern, Ohlssen, David, Wallstroem, Erik

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Multiple Sclerosis Care Optimization Tool (MS-COT): A Clinical application prototype to predict future disease activity (P1.368) von Silva, Diego, Meier, Daniela Piani, Ritter, Shannon, Davorka, Tomic, Medin, Jennie, Lange, Markus, Ohlssen, David

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A framework for longitudinal latent factor modelling of treatment response in clinical trials with applications to Psoriatic Arthritis and Rheumatoid Arthritis von Falck, Fabian, Zhu, Xuan, Ghalebikesabi, Sahra, Kormaksson, Matthias, Vandemeulebroecke, Marc, Zhang, Cong, Martin, Ruvie, Gardiner, Stephen, Kwok, Chun Hei, West, Dominique M., Santos, Luis, Tian, Chengeng, Pang, Yu, Readie, Aimee, Ligozio, Gregory, Gandhi, Kunal K., Nichols, Thomas E., Mallon, Ann-Marie, Kelly, Luke, Ohlssen, David, Nicholson, George

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Model averaging for treatment effect estimation in subgroups von Bornkamp, Björn, Ohlssen, David, Magnusson, Baldur P., Schmidli, Heinz

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A practical guide to Bayesian group sequential designs von Gsponer, Thomas, Gerber, Florian, Bornkamp, Björn, Ohlssen, David, Vandemeulebroecke, Marc, Schmidli, Heinz

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