Survival Analysis in Python: A Guide to the lifelines Library
Master time-to-event data with lifelines. Learn how to implement Kaplan-Meier estimates and Cox Proportional Hazards in Python for advanced data science.
Category Data Science
Machine Learning Health Predictors
Our Machine Learning Health Predictors use advanced algorithms to analyse personal health data and provide fast, reliable risk assessments. These tools transform complex clinical and lifestyle information into clear, actionable insights, helping users understand potential health risks early and make informed decisions. Designed for accessibility, accuracy, and preventive care, each predictor supports better health monitoring and empowers users to take proactive control of their well-being.
Public Health Survey Regression Methods: An R Guide
Master regression methods for public health surveys with this open-source guide. Learn R programming, survey weighting, and advanced biostatistical modeling.
Complex Survey Design and Weighted Analysis: R Survey Guide
Master complex survey design and weighted analysis using the R survey package. Learn how to handle stratified, cluster, and multistage sampling effectively.
Multilevel Hierarchical Modelling: A Comprehensive Stan Guide
Master Multilevel and Hierarchical Modelling using Stan. Learn to build robust Bayesian models for complex nested data in Biostatistics and AI.
Linear Mixed Effects Models: A statsmodels Python Guide
Master Mixed Effects Models in Python using statsmodels. Learn how to analyze grouped and longitudinal data for biostatistics and AI applications.
Generalized Estimating Equations: A statsmodels Python Guide
Master Generalized Estimating Equations (GEE) in Python. Learn to analyze longitudinal and clustered data using the statsmodels implementation for AI and research.
Generalized Linear Models: A statsmodels Guide for AI
Master Generalized Linear Models (GLMs) in Python using statsmodels. Learn theory, application for non-normal data, and implementation for Biostatistics.
Using a Machine Learning-Based Predictive Model for COVID-19
Introduction to the COVID-19 Predictor In the wake of the pandemic, numerous tools have emerged to help assess the likelihood of COVID-19 infection. One such tool is the COVID-19 predictor, a machine learning-based predictive model designed to analyze various symptoms…