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Biometrics|September 23, 2015
Parametric modeling of quantile regression coefficient functionsPaolo Frumento, Matteo BottaiBiometrics|February 10, 2017
Parametric modeling of quantile regression coefficient functions with censored and truncated dataPaolo Frumento, Matteo BottaiThe International Journal of Biostatistics|July 13, 2022
Modeling sign concordance of quantile regression residuals with multiple outcomesSilvia Columbu, Paolo Frumento, Matteo BottaiJAMA Neurology|March 19, 2019
Changes in the Risk of Reaching Multiple Sclerosis Disability Milestones In Recent Decades: A Nationwide Population-Based Cohort Study in SwedenOmid Beiki, Paolo Frumento, Matteo Bottai, et al.Journal of Affective Disorders|March 3, 2019
A prediction model for duration of sickness absence due to stress-related disordersKatalin Gémes, Paolo Frumento, Gino Almondo, et al.Occupational and Environmental Medicine|December 12, 2019
Predicting the duration of sickness absence spells due to back pain: a population-based study from SwedenAnnina Ropponen, Katalin Gémes, Paolo Frumento, et al.Plos One|January 20, 2023
A prognostic model for predicting the duration of 20,049 sickness absence spells due to shoulder lesions in a population-based cohort in SwedenKatalin Gémes, Johanna Holm, Paolo Frumento, et al.Critical Care (London, England)|November 4, 2015
Long-term mortality and risk factors for development of end-stage renal disease in critically ill patients with and without chronic kidney diseaseClaire Rimes-Stigare, Paolo Frumento, Matteo Bottai, et al.BMC Musculoskeletal Disorders|July 3, 2021
Predicting the duration of sickness absence due to knee osteoarthritis: a prognostic model developed in a population-based cohort in SwedenJohanna Holm, Paolo Frumento, Gino Almondo, et al.Heart (British Cardiac Society)|July 5, 2012
Elevated ApoB serum levels strongly predict early cardiovascular eventsBruna Gigante, Karin Leander, Max Vikstrom, et al.Pageof 35