Personalised Dynamic Prediction of Survival using Patient Registry Data: An Anatomy of a Landmarking Analysis

Join Dr Ruth Keogh from the London School of Hygiene and Tropical Medicine for this week's seminar.

  • Thu 1 Feb 18

    14:00 - 15:00

  • Colchester Campus

    Room EBS 2.1

  • Event speaker

    Dr Ruth Keogh

  • Event type

    Lectures, talks and seminars
    Department of Mathematical Sciences Seminar Series

  • Event organiser

    Mathematical Sciences, Department of

  • Contact details

    Dr Andrew Harrison

In ‘dynamic’ prediction of survival updated predictions of individuals’ survival are made as new longitudinal measures of health status become available. Landmarking is an attractive and flexible method for dynamic prediction. In this talk Dr Keogh will take the audience through a dynamic prediction analysis using data from the UK Cystic Fibrosis Registry. Challenges arise due to a large number of potential predictors, use of age as the timescale, and occurrence of intermediate events. Various modelling options are possible, and choices have to be made concerning time-varying effects and landmark-specific effects. Dr Keogh will outline how different model selection procedures were investigated; how models were assessed and compared using bootstrapping; and how predictions and their uncertainties can be obtained for a new individual.

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