Further Development of Flexible Parametric Models for Survival Analysis

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Life Expectancy of Patients With Chronic Myeloid Leukemia Approaches the Life Expectancy of the General Population. (2016, methodology): “The LEL and PELL were predicted from a flexible parametric relative survival model with five degrees of freedom to model the baseline excess hazard.(16,17) Age at diagnosis, year of diagnosis, and sex were all modeled (age and year that continuously used restricted cubic splines(18)), and interactio”
flexsurv: A Platform for Parametric Survival Modeling in R. (2016, methodology): “It is similar in spirit to the Stata packages stpm2 (Lambert and Royston 2009) for spline-based survival modelling, and stgenreg (Crowther and Lambert 2013) for fitting survival models with user-defined hazard functions using numerical integration.”
Restricted mean survival time: an alternative to the hazard ratio for the design and analysis of randomized trials with a time-to-event outcome (2013, methodology): “φ = √ mSE (μ̂) RSDST SE(μ̂) is estimated by the delta method within a flexible parametric model [10,11], using the stpm2 program [12] for Stata.”