Regression Models for Epidemiology
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Updated
Jun 12, 2024 - TeX
Regression Models for Epidemiology
Probabilistic Learning for mlr3
Elements of Survival Analysis in R and Python
Benchmark for Burk et al. (2024)
Open-source Survival Analysis library
R-codebase for a scientific research article, titled "The TruEnd-procedure: Treating trailing zero-valued balances in credit data"
Enhancing glioma tumor segmentation and survival analysis
Machine Learning in R
Bayesian survival models for high-dimensional data
📦 Non-parametric Causal Effects Based on Modified Treatment Policies 🔮
Implementation of L1 penalization on DCM based on the auton survival package.
Survival analysis built on top of scikit-learn
An R package for aggregate information fusion-assisted estimation and inference for both low and high dimensional Cox proportional hazards models.
Survival analysis in Julia
Survival Analysis through the integration of expression data, phenotype data, and clinical data
Resources for Survival Analysis
Benchmark code for scoring rules paper
An R data package for the book "Applied longitudinal data analysis: Modeling change and event occurrence" by Singer and Willett (2003).
Piece-wise exponential Additive Mixed Modeling tools
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