Survival Modeling Essentials
Master the Statistics and Mathematics of Time-to-Event Analysis
Master the essential concepts and techniques of survival modeling to analyze time-to-event data with confidence. This comprehensive guide takes you from foundational principles through advanced applications, providing the mathematical rigor and practical insights you need to apply survival analysis in real-world research and data science projects. You'll learn how to handle censored data, estimate survival probabilities, build predictive models, and interpret results correctly. Whether you're working in healthcare, engineering, finance, or social sciences, this book equips you with the statistical tools and conceptual understanding to tackle complex survival analysis challenges. Each chapter combines theoretical foundations with practical examples, diagnostic techniques, and implementation guidance to ensure you can immediately apply these methods to your own data.
Est. Length
222 pages (10 chapters)
Language
English
Publication date
Mar 3, 2026
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