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Mastering Survival Analysis with Python: A Step-by-Step Guide
$18.51
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- Master the art of survival analysis using Python, a powerful programming language for data science.
- Understand the concepts of survival analysis, including survival functions, hazard functions, and censoring.
- Learn how to estimate survival curves using Kaplan-Meier and Nelson-Aalen estimators.
- Perform log-rank tests and Cox proportional hazards regression to compare survival distributions.
- Handle missing data and time-dependent covariates in survival analysis.
- Gain insights into the factors that influence survival outcomes.
- Apply survival analysis techniques to real-world problems in various domains, such as healthcare, finance, and engineering.
- Enhance your data analysis skills and make informed decisions based on survival data.
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