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...
Main Authors: | Debray, T, Damen, J, Riley, R, Snell, K, Reitsma, J, Hooft, L, Collins, G, Moons, K |
---|---|
Format: | Journal article |
Jezik: | English |
Izdano: |
SAGE Publications
2018
|
Podobne knjige/članki
-
Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes
od: Riley, R, et al.
Izdano: (2018) -
Transparent reporting of multivariable prediction models for individual prognosis or diagnosis: checklist for systematic reviews and meta-analyses (TRIPOD-SRMA)
od: Snell, KIE, et al.
Izdano: (2023) -
A guide to systematic review and meta-analysis of prognostic factor studies
od: Riley, R, et al.
Izdano: (2019) -
External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges
od: Riley, R, et al.
Izdano: (2016) -
Minimum sample size for external validation of a clinical prediction model with a binary outcome
od: Riley, RD, et al.
Izdano: (2021)