Using lifelines to replicate published articles
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Updated
Jan 17, 2022 - Jupyter Notebook
Using lifelines to replicate published articles
This project focuces on analysis of survival patients with Aids, with Python library Lifelines
DecenniumClinic is a reproducible Python stack for epidemiology-style cohorts: validation → imputation-in-pipeline random forests → Harrell’s C tuning, plus /health, /ready, and curl-friendly APIs. Built for methods research, not patient care.
C++17 console implementation of Who Wants to Be a Millionaire with validated CSV question banks, a prize ladder and three lifelines
end-to-end survival analysis on 15,054 breast cancer patients using Kaplan–Meier, Cox PH, and Weibull AFT models to identify prognostic factors and evaluate survival outcomes
Applying KaplanMeierFitter model on Time and Events
Cox survival validation of 8 DNA-methylation clocks against ~20-year NHANES mortality follow-up (n=2,532)
A repository containing various projects and microprojects.
Pancreatic Cancer Predictive Pipeline A professional clinical framework for pancreatic cancer prognosis. Combines Kaplan-Meier survival analysis and Cox Regression with an MLOps-powered machine learning pipeline (XGBoost/Random Forest) for real-time, high-recall patient risk stratification.
Survival prediction model on TCGA-BRCA data · Python · Lifelines · Streamlit
Survival analysis of breast cancer clinical data using Kaplan–Meier curves and Cox proportional hazards models in Python
A biostatistical survival analysis pipeline using Python to evaluate patient prognosis in the Mayo Clinic PBC dataset. Implements Kaplan-Meier estimators and Cox Proportional Hazards models to mathematically process right-censored clinical data and identify mortality risk factors.
Notebooks for "A topic model analysis of TCGA transcriptomic data of breast and lung cancer"
Project and tutorial for analyzing datasets with Python, pandas, lifelines, matplotlib, statsmodels, and seaborn
How long does a track & field world record stand? A survival analysis (Kaplan-Meier + Cox) of ~250 record reigns — and which of today's records is most likely to fall next.
Interactive web application to analyize the survival of Endometrial Cancer
analyzing 200+ Falcon 9 missions via survival analysis, Kaplan-Meier curves, and more
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