Protocol for a systematic review of prognostic models for recurrent events in chronic conditions
Abstract Background Prognostic models for repeated events of the same type are highly useful in predicting when a patient may have a recurrence of a chronic disease or illness. Whilst methods are currently available for analysing recurrent event data in prognostic models, to our knowledge, most are...
Main Authors: | Victoria Watson, Catrin Tudur Smith, Laura Bonnett |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2020-01-01
|
Series: | Diagnostic and Prognostic Research |
Subjects: | |
Online Access: | https://doi.org/10.1186/s41512-020-0070-9 |
Similar Items
-
Prognostic models for predicting incident or recurrent atrial fibrillation: protocol for a systematic review
by: Janine Dretzke, et al.
Published: (2019-08-01) -
Analytical validation of a prognostic prostate cancer gene expression assay using formalin fixed paraffin embedded tissue
by: Paul Wallace Medlow, et al.
Published: (2018-12-01) -
Prognostic models for breast cancer: a systematic review
by: Minh Tung Phung, et al.
Published: (2019-03-01) -
The development and validation of a prognostic model to PREDICT Relapse of depression in adult patients in primary care: protocol for the PREDICTR study
by: Andrew S. Moriarty, et al.
Published: (2021-07-01) -
A Clinical-Radiomics Nomogram Based on Computed Tomography for Predicting Risk of Local Recurrence After Radiotherapy in Nasopharyngeal Carcinoma
by: Chaohua Zhu, et al.
Published: (2021-03-01)