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Title: NIH - A Conceptual Approach to Survival Analysis

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Title NIH - A Conceptual Approach to Survival Analysis
Contributor/Contact Laura Lee Johnson, PhD
Institution NIH
Acknowledgment Please cite the appropriate contributors/authors/contacts when using or adapting these materials.
Format Web_Link, PDF slides
Attachment

URL_Web_Link Link to slides: A Conceptual Approach to Survival Analysis
Type of Course Multi-presentation
Level of Course Beginning, Mid-level
Audience Graduate Student, Clinical Researcher
Topics Description Objectives
• “Conceptual Approach”
• Recognize some vocabulary used in survival analysis and a few commonly used statistical methods for time to event data in medical research
• Interpret Kaplan Meier graph
• Interpret a covariate from a Cox model
• Understand a few of the assumptions for basic types of survival models
Software Program

Datasets

Data

Keywords Survival or time to event
Median survival
Outcome variable
Event time
Time origin
Time scale
Sample size
Truncation
Censoring
Right censoring: withdrawals
Independent censoring
Covariates
Survival
Hazard fundtions
Competing risks
Independence assumption
Kaplan Meier
Inference
Log rank
Stratified log rank
Cox Proportional Hazards Model
Time-Dependent Survival Curves
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 - 15:31:57 - MaryBanach
 

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