A general inยฎltration model proposed by Singh and Yu (1990) was calibrated and validated using a split sampling approach for 191 sets of inยฎltration data observed in the states of Minnesota and Georgia in the USA. Of the ยฎve model parameters, f c (the ยฎnal inยฎltration rate), S o (the available stora
Validation, calibration, revision and combination of prognostic survival models
โ Scribed by Hans C. van Houwelingen
- Publisher
- John Wiley and Sons
- Year
- 2000
- Tongue
- English
- Weight
- 242 KB
- Volume
- 19
- Category
- Article
- ISSN
- 0277-6715
No coin nor oath required. For personal study only.
โฆ Synopsis
The problem of assessing the validity and value of prognostic survival models presented in the literature for a particular population for which some data has been collected is discussed. Methods are sketched to perform validation through 'calibration', that is by embedding the literature model in a larger calibration model. This general approach is exempliรฟed for x-year survival probabilities, Cox regression and general non-proportional hazards models. Some comments are made on basic structural changes to the model, described as 'revision'. Finally, general methods are discussed to combine models from di erent sources. The methods are illustrated with a model for non-Hodgkin's lymphoma validated on a Dutch data set.
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