May 1, 2024
4 minute read
Cox Regression analysis is a statistical technique used to analyze time-to-event data, which is data that records the time until an event occurs, such as the time until a patient recovers from an illness or the time until a machine fails. It is a type of survival analysis that is used to identify the factors that affect the time until an event occurs and to predict the probability of an event occurring within a specified time period.
History
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Find a path to becoming a Cox Regression. Learn more at:
OpenCourser.com/topic/4c4cq8/cox
Reading list
We've selected 12 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
Cox Regression.
Provides a comprehensive guide to Cox regression and survival analysis, with a focus on practical applications.
Provides a rigorous treatment of statistical models and methods for lifetime data, including Cox regression.
Provides a detailed treatment of regression modeling of survival data, including Cox regression.
Provides a detailed guide to Cox proportional hazards regression, with a focus on medical research.
Provides a comprehensive overview of survival analysis techniques, including Cox regression, with a focus on censored and truncated data.
Provides a detailed treatment of the analysis of failure time data, including Cox regression.
Provides an introduction to multistate models for survival analysis, which are extensions of Cox regression that allow for more complex event histories.
Provides a practical guide to survival analysis, including Cox regression, with a focus on applications in medical research.
Provides a comprehensive overview of survival analysis methods, including Cox regression, with a focus on applications in public health.
Provides a practical guide to survival analysis, including Cox regression, with a focus on applications in medical research.
Provides an introduction to frailty models in survival analysis, which are extensions of Cox regression that allow for unobserved heterogeneity.
Provides a gentle introduction to survival analysis using Stata, including Cox regression.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/4c4cq8/cox
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