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.
This 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.
- 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 2022-2023
- £240 : Imperial College only
(£360 : If attended jointly with the Logistic Regression course)
- £380 : External rate
(£560 : If attended jointly with the Statistical Modelling Using Stata course).
* Click here for Cancellation Policy
- Wednesday 07 December 2022
- Wednesday 15 February 2023
- Wednesday 14 June 2023
- Wednesday 09 August 2023
Please CLICK HERE to be redirected to the registration forms and booking links.
Time and Location
The course will run face-to-face with an option to join via Microsoft Teams.
Exact details will be sent a week prior to the course date