Course

Course Summary
Credit Type:
Course
ACE ID:
STAT-0027
Organization's ID:
#660
Organization:
Statistics.com
Location:
Online
Length:
8 weeks (120 hours)
Dates Offered:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Graduate 3 statistics
Description

Objective:

The course objective is to describe 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 will also require participants to use a convenient statistical package (e.g., SAS, JMP, STATA, R, or S+) to analyze survival analysis data.

Learning Outcomes:

  • describe survival data, and the roles played by censoring, and survival and hazard functions
  • Format data appropriately for analysis, and understanding
  • Graph survival data, and the Kaplan - Meier curve
  • Specify and fit the Cox Proportional Hazards model
  • Check the PH assumption, and compute the hazard ratio
  • Add stratification to specify a Stratified Cox model (with and without interaction)
  • Describe the fully-extended Cox model
  • apply models to the 'addicts' data, and the Stanford Heart Transplant Study
  • explain the concept of censored data and recognize why this concept is central to survival analysis
  • Describe and interpret the relationship between the survival function & hazard function
  • Compute adjusted survival rates, and fit a survival curve using software
  • Explain the rationale and assumptions behind using a Stratified Cox model
  • implement an extended Cox model using the computer and interpret output

General Topics:

  • An overview of survival analysis methods
  • Introduction to Proportional Hazards Models
  • The Stratified Cox Model
  • Definition and examples of time-dependent variables
Instruction & Assessment

Instructional Strategies:

  • Audio Visual Materials
  • Classroom Exercise
  • Coaching/Mentoring
  • Computer Based Training
  • Discussion
  • Practical Exercises
  • Project-based Instruction

Methods of Assessment:

  • Other
  • Quizzes
  • Project

Minimum Passing Score:

80%
Supplemental Materials