Clinical prediction in defined populations: a simulation study investigating when and how to aggregate existing models
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- 作者：Glen P. Martin ; Mamas A. Mamas ; Niels Peek ; Iain Buchan…
- 关键词：Clinical prediction models ; Model aggregation ; Validation ; Computer simulation ; Contextual heterogeneity
- 刊名：BMC Medical Research Methodology
- 出版年：2017
- 出版时间：December 2017
- 年：2017
- 卷：17
- 期：1
- 全文大小：1407KB
- 刊物主题：Theory of Medicine/Bioethics; Statistical Theory and Methods; Statistics for Life Sciences, Medicine, Health Sciences;
- 出版者：BioMed Central
- ISSN：1471-2288
- 卷排序：17
文摘
BackgroundClinical prediction models (CPMs) are increasingly deployed to support healthcare decisions but they are derived inconsistently, in part due to limited data. An emerging alternative is to aggregate existing CPMs developed for similar settings and outcomes. This simulation study aimed to investigate the impact of between-population-heterogeneity and sample size on aggregating existing CPMs in a defined population, compared with developing a model de novo.