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.
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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.
Sisters in Public Health Scholarship: 2026 Application Guide
Unlock funding for your public health career. Learn how to apply for the Sisters in Public Health Scholarship, including eligibility and application tips.
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.
Cumbria Global Excellence PGT Merit Scholarship Guide
Boost your healthcare technology career with the University of Cumbria Global Excellence PGT Merit Scholarship. Learn eligibility, benefits, and how to apply.
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.
University of Cumbria Health and Wellbeing Scholarship Guide
Master health analytics and data science with the University of Cumbria Health and Wellbeing Scholarship. Learn about eligibility, benefits, and how to apply.
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.
Apply: Digital4Business Joint Professional Master’s Program
Master advanced digital tech with the Digital4Business Joint Professional Master’s. Get fully-funded training in AI, Data Science, and Cybersecurity. Apply now!
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.