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Kidney International|May 29, 2018
Personalized dynamic risk assessment in nephrology is a next step in prognostic researchMilos Brankovic, Isabella Kardys, Ewout J Hoorn, et al.
Biometrics|November 2, 2017
Improved dynamic predictions from joint models of longitudinal and survival data with time-varying effects using P-splinesEleni-Rosalina Andrinopoulou, Paul H C Eilers, Johanna J M Takkenberg, et al.
Plastic and Reconstructive Surgery|March 29, 2024
The Rhinoplasty Rosetta Stone: Using Rasch Analysis to Create and Validate Crosswalks between the NOSE and the SCHNOS Functional SubscaleFloris V W J van Zijl, Frank Declau, Dimitris Rizopoulos, et al.
Statistical Methods in Medical Research|February 9, 2011
A generalized p-value approach for assessing noninferiority in a three-arm trialMark A Gamalo, Saman Muthukumarana, Pulak Ghosh, et al.
Science Advances|May 6, 2022
Measuring vaccine effectiveness from limited public health datasets: Framework and estimates from India's second COVID waveAbhiroop Mukherjee, George Panayotov, Rik Sen, et al.
Plos One|May 26, 2018
Correction: Predicting anti-RhD titers in donors: Boostering response and decline rates are personalAnneke S de Vos, C Ellen van der Schoot, Dimitris Rizopoulos, et al.
Statistical Methods in Medical Research|October 27, 2017
Bayesian imputation of time-varying covariates in linear mixed modelsNicole S Erler, Dimitris Rizopoulos, Vincent Wv Jaddoe, et al.
Plos One|April 27, 2018
Predicting anti-RhD titers in donors: Boostering response and decline rates are personalAnneke S de Vos, C Ellen van der Schoot, Dimitris Rizopoulos, et al.
BJU International|June 13, 2020
Personalised biopsy schedules based on risk of Gleason upgrading for patients with low-risk prostate cancer on active surveillanceAnirudh Tomer, Daan Nieboer, Monique J Roobol, et al.
Cancer Medicine|March 16, 2024
Exploring the relation of active surveillance schedules and prostate cancer mortalityZhenwei Yang, Eveline A M Heijnsdijk, Lisa F Newcomb, et al.
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