… In this tutorial, we describe a general workflow for survival analysis with omics data… methods
for feature selection and survival prediction; importantly, we provide a step-by-step R tutorial …

… package brms for Bayesian discrete-time survival analysis (this tutorial uses version 2.9.0). …
the main codes of the tutorial to work. If interested, you can check out this tutorial for detailed …

… We evaluated methods for the analysis of multi-level survival data using a pooled dataset
of 14 cohorts … A tutorial on multilevel survival analysis: methods, models and applications …

… to as survival models. In this study, the authors construct a multilevel survival model that takes
… a multiple-membership survival model, illustrating each step with an application on a real-…

… We provide a practical introduction to multilevel survival analysis (MSA) for observational …
overview of survival analysis, and then illustrate how MSA is applied to observational data. …

… Particularly, Chapter 8 presents the application of cure models in the population-based
cancer survival analysis. Chapter 9 discusses statistical issues in the design and analysis of …

… the effects were generally stable across the three models in each region. Overall, we
recommend use of multilevel survival models to account for clustering of women into households …

… In this paper, we introduced two survival analysis models, namely the excess hazard model
and the multilevel excess hazard model, to estimate the excess hazard (log lambda). These …

… in-depth analysis of the sample size required for the analysis of recurrent time-to-event data
using multifrailty or multilevel survival models. The term multifrailty refers to models that take …

… Multi-state models are considered in the field of survival analysis for modelling illnesses
that … In survival analysis, it is usual to model the progression of a disease that can occupy …