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Overview
The Statistical Methods for Risk Prediction and Prognostic Models course from the University of Birmingham is delivered over 4 days and focuses on key principles for model development, internal validation, and external validation.
Key facts
Computer practicals in R or Stata are included on all four 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).
Participants can choose whether to follow the practicals in either R or Stata, and all code is already written, allowing participants to focus more on their understanding of the methods and interpretation of the results.
Programme Structure
Topics include:
- multivariable models for individualised prediction of future outcomes (prognosis)
- models for predicting existing disease (diagnosis)
- binary and time-to-event outcomes
- continuous outcomes
Key information
Duration
- Part-time
- 4 days
Start dates & application deadlines
- Starting
- Apply before
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Language
English
Delivered
Online
Campus Location
- Birmingham, United Kingdom
Disciplines
Statistics Risk Management View 22 other Short Courses in Risk Management in United KingdomWhat students do after studying
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Academic 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 Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents551 GBP / full≈ 551 GBP / full -
Domestic Applies to you
Applies to youCitizens or residents550 GBP / full≈ 550 GBP / full
Additional Details
- Students - £550
- Academics - £700
- Industry - £1,000
Funding
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