A framework for meta-analysis of prediction model studies with binary and time-to-event outcomes
It is widely recommended that any developed—diagnostic or prognostic—prediction model is externally validated in terms of its predictive performance measured by calibration and discrimination. When multiple validations have been performed, a systematic review followed by a formal meta-analysis helps...
主要な著者: | Debray, T, Damen, J, Riley, R, Snell, K, Reitsma, J, Hooft, L, Collins, G, Moons, K |
---|---|
フォーマット: | Journal article |
言語: | English |
出版事項: |
SAGE Publications
2018
|
類似資料
-
Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes
著者:: Riley, R, 等
出版事項: (2018) -
Transparent reporting of multivariable prediction models for individual prognosis or diagnosis: checklist for systematic reviews and meta-analyses (TRIPOD-SRMA)
著者:: Snell, KIE, 等
出版事項: (2023) -
A guide to systematic review and meta-analysis of prognostic factor studies
著者:: Riley, R, 等
出版事項: (2019) -
External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges
著者:: Riley, R, 等
出版事項: (2016) -
Minimum sample size for external validation of a clinical prediction model with a binary outcome
著者:: Riley, RD, 等
出版事項: (2021)