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Title: Indiana - Introduction to Survival Analysis

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Title Indiana - Introduction to Survival Analysis
Contributor/Contact Zhangsheng Yu
Institution Indiana
Acknowledgment Please cite the appropriate contributors/authors/contacts when using or adapting these materials.
Format PDF slides
Attachment Introduction to Survival Analysis
URL_Web_Link

Type of Course Single Presentation
Level of Course Beginning
Audience Graduate Student
Topics Description Biostatistics Short Course

Objectives:
1) Know why special methods for the analysis of survival data are needed.
2) Understand the basics of the Kaplan-Meier technique.
3) Learn how to compare the survival time between two groups (graphically and statistically).
4) Learn the basics of the Cox proportional hazards model.
Software Program

Datasets

Data

Keywords Survival analysis
Time to event analysis
Logistic regression
Censored observations
Staggered entry of patients
Right censoring
Left censoring
Interval censoring
Example of children with acute leukemia
Mean follow-up
Mean survival
Median survival
Kaplan-Meier curves
Crook study of prostate cancer
Cox proportional hazards model
See Also

Type of Activity Course Slides
Disclaimer The views expressed within CTSpedia are those of the author and must not be taken to represent policy or guidance on the behalf of any organization or institution with which the author is affiliated.
Topic revision: r4 - 08 Oct 2012 - 14:43:57 - MaryBanach
 

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