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Introduction to Survival Analysis

Introduction to Survival Analysis is a one-day course covering the core concepts and techniques of survival analysis, including methods for Kaplan-Meier estimation and Cox proportional hazards regression models.

The course includes discussion of conceptual issues behind these analyses alongside practical exercises (with support for R, SAS and Stata). We will use real datasets to cover the application of these core techniques in a health research setting.

For the practical components, you will need access to a computer with the software installed. The course will cover the following:

  • An introduction to the uses of survival analysis
  • The key role of censoring in survival analysis
  • Kaplan-Meier estimates of cumulative survival (including graphing)
  • Comparing survival between groups: the log-rank test
  • An overview of Cox proportional hazards models
  • Interpretation of hazard ratios
  • Methods for examining the proportional hazards assumption

This course is a mixture of principles and practical methods, attendees should have:

  • a reasonable knowledge of regression modelling methods (e.g. logistic regression) and core statistical principles (e.g. use and interpretation of confidence intervals and hypothesis tests)
  • previous experience in using Stata, SAS or R for data manipulation and analysis.

Cost:

Early Bird Registration: $150 before 27 June 2022

Standard Registration: $225

Students wishing to pay by Departmental Cost Code will need to contact:

Email biostatistics_dunedin@otago.ac.nz

Register at: Biostatistics Centre

Date Monday, 11 July 2022
Time 9:00am - 5:00pm
Audience Public,Undergraduate students,Postgraduate students,Staff,Alumni,Allied health professionals
Event Category Health Sciences
Event Type Short Course
CampusDunedin
LocationOnline via Zoom, Dunedin
Cost$150 Early Bird Registration before 27/6/2022 or $225 Standard registration
Contact NameBiostatistics Administration
Contact Phone+64 3 479 7223
Contact Emailbiostatistics_dunedin@otago.ac.nz

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