Logistic Regression & Survival Analysis Using Stata

Stata is an interactive data management and statistical analysis program, which has become very popular among researchers in most disciplines. The programme provides a broad range of statistics. It is very user-friendly and also has internet capabilities.

imp2This is a 1 day course following on from the Introduction to Statistics Using Stata and Data Management & Statistical Analysis Using Stata courses.

This course presents more advanced statistical techniques such as Logistic regression, Diagnostic tests and ROC curves. It also provides an introduction to Survival Analysis and Cox proportional hazards regression.

Entry requirements: You should have attended the Introduction to Statistics Using Stata course or the Data Management & Statistical Analysis Using Stata course. Otherwise, you should have at least some familiarity with statistics and the Stata software. You should also have attended the Statistical Modelling Using Stata (Continuous Outcomes) course.

This session can also be attended jointly with the Statistical Modelling Using Stata (Continuous Outcomes) course at a discounted price.

Course Tutor: Joseph Eliahoo

This course has been approved by the Royal College of Physicians for 6 CPD credits. 

Course Content

  • Logistic Regression
  • Odds ratios
  • Likelihood ratio test
  • Hosmer-Lemeshow test
  • Diagnostic tests
  • ROC curves
  • Survival analysis
  • Life tables
  • Kaplan-Meier survival graphs
  • Log-rank test and Tarone-Ware test
  • Cox proportional hazards regression
  • Diagnostics for proportional hazards

Fees and dates for 2023-2024

Course Fees

  • £300.00: Imperial College only
  • £460.00: External rate

Joint registration Statistical Modelling and Logistic Regression usng STATA

  •  Early-bird rate
    • £450.00: Imperial College onl
    • £720.00: External rate
  • Standard rate
    • £500.00: Imperial College only
    • £800: External rate

* Click here for Cancellation Policy

Dates

  • Wednesday 06 December 2023 (ONLINE)
  • Wednesday 21 February 2024
  • Wednesday 03 July 2024
  • Wednesday 07 August 2024

 Please CLICK HERE to be redirected to the registration forms and booking links.

Time and Location

Participants may indicate in-class or Online participation.

Change of Delivery mode will be confirmed 3 weeks prior to the course date.

Final details will be sent a week prior to the course date.