May 2, 2024
3 minute read
Survival Models are a form of statistical modeling used to analyze the time until a specific event occurs. They're commonly used in fields like healthcare, engineering, and finance. Survival Models focus on the probability of an event happening over time, taking into account factors that may affect that probability. These factors are known as covariates.
Uses of Survival Models
Survival Models have numerous applications across industries:
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Find a path to becoming a Survival Models. Learn more at:
OpenCourser.com/topic/btulfz/survival
Reading list
We've selected four books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Survival Models.
This classic book provides a thorough treatment of the statistical methods used in survival analysis, including topics such as non-parametric methods, parametric models, and Bayesian methods.
Provides a comprehensive treatment of the statistical methods used in survival analysis, with a focus on parametric models.
Provides a practical guide to survival analysis for medical researchers, with a focus on applications in clinical trials.
Provides a concise and accessible introduction to survival analysis, with a focus on the most important concepts and methods.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/btulfz/survival