Prognosis and prognostic research: what, why, and how?

Doctors have little specific research to draw on when predicting outcome. In this first article in a series Karel Moons and colleagues explain why research into prognosis is important and how to design such research

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Bibliographic Details
Published in:BMJ 2009-02, Vol.338 (7706), p.1317-1320
Main Authors: Moons, Karel G M, Royston, Patrick, Vergouwe, Yvonne, Grobbee, Diederick E, Altman, Douglas G
Format: Article
Language:English
Subjects:
Apgar score
Biomedical Research - methods
Breast cancer
Calibration
Causality
Cohort analysis
Colleagues
Decision making
Disease
Doctors
Economic forecasts
Etiology
Health outcomes
Hospitals
Illnesses
Medical prognosis
Medical research
Medicine
Modeling
Models, Statistical
Mortality
Multivariate Analysis
Natural satellites
Patients
Physicians
Physiology
Predictive modeling
Primary care
Probability
Prognosis
Research Design
Research methods
RESEARCH METHODS & REPORTING
Researchers
Tumours
Validation
Variables
Citations: Items that cite this one
Online Access:Get full text
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Description
Summary:Doctors have little specific research to draw on when predicting outcome. In this first article in a series Karel Moons and colleagues explain why research into prognosis is important and how to design such research
ISSN:0959-8138
0959-535X
1468-5833
1756-1833
DOI:10.1136/bmj.b375