Survival Analysis (#660)
Issued by
Statistics.com
The course describes the various methods used for modeling and evaluating survival data, also called time-to-event data. General statistical concepts and methods discussed in this course include survival and hazard functions, Kaplan-Meier graphs, log-rank and related tests, Cox proportional hazards model, and the extended Cox model for time-varying covariates. The course requires participants to use a convenient statistical package to analyze survival analysis data.
Additional DetailsEarning Criteria
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The methods of assessment include quizzes, and more with a minimum passing score of 80%.
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Instructional strategies include: audio visual materials, discussion, computer-based training, project-based instruction, coaching/mentoring, practical exercises, classroom exercise.
Endorsements
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American Council on Education
This credential has been successfully evaluated by the American Council on Education for college credit. It is recommended for a total of 3 Graduate college credits in Statistics. For more information about ACE Learning Evaluations, visit www.acenet.edu. -
American Council on Education
3 semester hours in statistics in the graduate category