Survival analysis with STATA

Thursday 11 May 2023, 9:00am to Friday 12 May 2023, 5:00pm


Online, Lancaster, United Kingdom, LA1 4YD - View Map

Open to

Alumni, External Organisations, Postgraduates, Public, Staff


Cost to attend - booking required

Registration Info

Registration via the workshop website

Ticket Price

Registration Practitioner registration – Survival Analysis: £950 Academic registration – Survival Analysis: £600 PhD student registration – Survival Analysis: £300

Event Details

The aim of the course is to familiarize the participant to the techniques of survival analysis with practical applications with a variety of datasets.

The aim of the course is to familiarize the participant to the techniques of survival analysis with practical applications with a variety of datasets. Practical applications in Stata are offered that give participants hands-on experience to datasets and the econometric techniques covered in the course. By the end of the course students will be able to distinguish between survival analysis and ordinary regression designs, conduct survival analysis and interpret results, compare between survival analysis models and assumptions, and perform forecasting in survival analysis contexts.

  • Session 1: Introduction to survival analysis / Comparison to regression designs / Data organization
  • Session 2: Non-parametric survival analysis models
  • Session 3: Semi-parametric survival models / Cox Proportional Hazards model
  • Session 4: Parametric survival models
  • Session 5: Accelerated Failure Time (AFT) models / Discrete-time models
  • Session 6: Competing risks / Repeated events modeling
  • Session 7: Forecasting with survival analysis models
  • Session 8: Practical sessions: Data organization / Non-parametric models
  • Session 9: Practical sessions: Semi-parametric models
  • Session 10: Practical sessions: Parametric models
  • Session 11: Practical sessions: AFT models / Competing risks
  • Session 12: Practical sessions: Forecasting


The course is designed for participants (MSc/PhD students, researchers, academics, analysts) with some familiarity in banking, finance, and econometrics. No experience with survival analysis is necessary.


This online course will deliver a series of lectures delivered by using slides presentation and other materials. A reading list of academic papers will be provided to the participants before the start of the course. A series of textbooks and chapters will be recommended for additional reading. Practical sessions require the use of Stata econometric software. A brief introduction to Stata for less familiar students may be arranged separately.


Dr Vasileios Pappas

University of Kent

Dr Vasileios Pappas is currently a Senior Lecturer in Finance and Director of Studies for the BSc in Finance and Investment at Kent Business School, University of Kent. Vasileios holds a BSc in Economics (University of Piraeus), an MSc in Money, Banking & Finance and a PhD in Economics (both from Lancaster University). He has worked as a Senior Research Associate in GOLCER, Lancaster University and as a Lecturer in Finance at the University of Bath

Contact Details

Name Teresa B Aldren


Directions to Online