geneSurv: an interactive web-based tool for survival analysis in genomics research
business analytics course homework assignments
Best practices for survival analysis at PNT Lab
Survival functions (client side) for DataSHIELD. Package for building survival models, Cox proportional hazards models and Cox regression models in DataSHIELD.
R pipeline for survival analysis with automatic detection of competing risks, recurrent events, time-varying exposures, and clustering—routes to appropriate statistical methods and generates publication-ready Quarto manuscripts.
Data Science Blog
Date cleaning and preprocessing | Data wrangling | Data visualization | Summary statistics | Kaplan Meier | Cox Proportional Hazards Regression| Stratification | Report Writing | Real world data
Scripts for generating and analysing fake HES-APC NHS England EHR data.
Code repository for the manuscript: Violent victimisation after adolescent traumatic brain injury: development and validation of a clinical prediction model (published in Injury Prevention)
HER2-Amplified vs Non-Amplified Breast Cancer Transcriptome Analysis (TCGA BRCA): Differential Expression, Pathway Enrichment, and Lasso-Cox Survival Stratification
Risk assessment via survival modelling
How long does a track and field world record stand? A survival analysis (Kaplan-Meier and Cox) of ~250 record reigns, and which of today's records is most likely to fall next.
Customer churn as a time-to-event problem: Kaplan-Meier retention curves + a Cox proportional-hazards model on 7,043 telecom customers (held-out C-index 0.857). A two-year contract cuts churn hazard to ~8% of month-to-month. Live interactive dashboard.
Code for: The Cox-Polya-Gamma Algorithm for Flexible Bayesian Inference of Multilevel Survival Models. Weibull PH model based on Cox-PG algorithm has been added (25JAN2026).
Code repository for the manuscript: Clinical prediction model for self-harm after adolescent traumatic brain injury (under review)
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