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Overview
Key facts
It is delivered over 3 days and focuses on key principles for model development, internal validation, and external validation. Our focus is on multivariable models for individualised prediction of future outcomes (prognosis), although many concepts also apply to models for predicting existing disease (diagnosis). We focus mainly on binary and time-to-event outcomes, though continuous outcomes is also covered in special topics.Computer practicals in R or Stata are included on all three days, and participants can choose whether to focus on logistic regression examples (for binary outcomes) or Cox/flexible parametric survival examples (for time-to-event outcomes). All code is already written, allowing participants to focus more on their understanding of methods and interpretation of results.
University of Birmingham's Statistical methods for risk prediction and prognostic models programme will teach you more about this topic.
Programme Structure
- A framework for different types of external validation studies is provided, and the potential importance of model updating strategies (such as re-calibration techniques) are considered.
- Novel topics are then considered, including: the use of pseudo-values to allow calibration curves in a survival model setting; the development and validation of models using large datasets (e.g. from e-health records) or multiple studies; the use of meta-analysis methods for summarising the performance of models across multiple studies or clusters; the role of net benefit and decision curve analysis to understand the potential role of a model for clinical decision making; and practical guidance about different ways in which prediction and prognostic models can be presented.
Key information
Duration
- Part-time
- 3 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Disciplines
Statistics Risk Management View 20 other Short Courses in Statistics in United KingdomAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
The course is aimed at individuals that want to learn how to develop and validate risk prediction and prognostic models, specifically for binary or time-to-event clinical outcomes (though continuous outcomes is also covered). An understanding of key statistical principles and measures (such as effect estimates, confidence intervals and p-values) and the ability to apply and interpret regression models is essential. Previous experience of using R or Stata for data analysis is also highly recommended, though computer code is already written in the practicals.
Tuition Fee
To always see correct tuition fees
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International
499 GBP/fullTuition FeeBased on the tuition of 499 GBP for the full programme during 3 days. -
National
499 GBP/fullTuition FeeBased on the tuition of 499 GBP for the full programme during 3 days.
Student - £499; Academic - £599; Industry - £699 (Also a UOB Staff Discount category)
Funding
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