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...
Những tác giả chính: | Debray, T, Damen, J, Riley, R, Snell, K, Reitsma, J, Hooft, L, Collins, G, Moons, K |
---|---|
Định dạng: | Journal article |
Ngôn ngữ: | English |
Được phát hành: |
SAGE Publications
2018
|
Những quyển sách tương tự
-
Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes
Bằng: Riley, R, et al.
Được phát hành: (2018) -
Transparent reporting of multivariable prediction models for individual prognosis or diagnosis: checklist for systematic reviews and meta-analyses (TRIPOD-SRMA)
Bằng: Snell, KIE, et al.
Được phát hành: (2023) -
A guide to systematic review and meta-analysis of prognostic factor studies
Bằng: Riley, R, et al.
Được phát hành: (2019) -
External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges
Bằng: Riley, R, et al.
Được phát hành: (2016) -
Minimum sample size for external validation of a clinical prediction model with a binary outcome
Bằng: Riley, RD, et al.
Được phát hành: (2021)