geneSurv: an interactive web-based tool for survival analysis in genomics research
ACM CHIL 2021: "Enabling Counterfactual Survival Analysis with Balanced Representations"
Smooth Hazard Ratio Curves Taking a Reference Value
An introduction to the concepts of Survival Analysis and its implementation in lifelines package for Python.
Minimal network meta-analysis with BUGS from R.
Survival Analysis through the integration of expression data, phenotype data, and clinical data
As part of the DRPPM-PATH-SURVEIOR family, this R Shiny app aims to perform GSEA with a pre-ranked set of genes determined by hazard ratio
Coursework, Stata code, and notes for PBHS 32700: Biostatistical Methods (Spring 2024, University of Chicago). Topics include contingency tables, logistic regression, Poisson and negative binomial models, and survival analysis using Kaplan-Meier, Cox, and parametric models. The course emphasizes categorical and time-to-event analysis using Stata.
Survival Analysis through the integration of expression data, phenotype data, and clinical data
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