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PyMSM: Python package for Competing Risks and Multi-State models for Survival Data.

, , and . J. Open Source Softw., 7 (78): 4566 (October 2022)

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Sensitivity analysis for complex ecological models - A new approach., , , , and . Environ. Model. Softw., 26 (2): 124-134 (2011)PyMSM: Python package for Competing Risks and Multi-State models for Survival Data., , and . J. Open Source Softw., 7 (78): 4566 (October 2022)Pseudo-full likelihood estimation for prospective survival analysis with a general semiparametric shared frailty model: Asymptotic theory, , and . Journal of Statistical Planning and Inference, 138 (7): 1998--2016 (Jul 1, 2008)The Effect of a Bedtime Meal on Fasting Hyperglycemia Assessed by Continuous Glucose Monitoring System in Type 2 Diabetes Mellitus Patients, , , , , and . Journal of Diabetes and Treatment, 2018 (05): 1-4 (November 2018)General Semiparametric Shared Frailty Model Estimation and Simulation with frailtySurv., , and . CoRR, (2017)PyDTS: A Python Package for Discrete Time Survival Analysis with Competing Risks., , and . CoRR, (2022)Consistent Distribution-Free $K$-Sample and Independence Tests for Univariate Random Variables., , , , and . J. Mach. Learn. Res., (2016)Development and validation of a machine learning model predicting illness trajectory and hospital utilization of COVID-19 patients: A nationwide study., , , , , , , , , and 2 other author(s). J. Am. Medical Informatics Assoc., 28 (6): 1188-1196 (2021)