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Improved survival prediction from lung function data in a large population sample.
Martin Miller
, OF Pedersen
, P Lange
, J Vestbo
Applied Health Sciences
Research output
:
Contribution to journal
›
Article
26
Citations (Scopus)
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Keyphrases
Large Population
100%
Lung Function
100%
Survival Prediction
100%
Improved Survival
100%
Forced Expiratory Volume in 1 Second (FEV1)
100%
Population Sample
100%
Airway
23%
Hazard Ratio
23%
Lung Disease
23%
Disease-specific Mortality
23%
All-cause Mortality
15%
Diabetes
7%
Body Mass Index
7%
Smoking Status
7%
Multivariate Model
7%
Cox Regression Model
7%
Previous Myocardial Infarction
7%
Standardized Residuals
7%
Multivariate Prediction
7%
Lung Function Impairment
7%
Gender Bias
7%
Age Bias
7%
Copenhagen City Heart Study
7%
Medicine and Dentistry
Survival Prediction
100%
Lung
100%
Forced Expiratory Volume
100%
Hazard Ratio
23%
Silo-Filler's Disease
23%
All Cause Mortality
15%
Diabetes
7%
Body Mass Index
7%
Proportional Hazards Model
7%
Myocardial Infarction
7%
Pharmacology, Toxicology and Pharmaceutical Science
Survival Prediction
100%
Lung Disease
100%
All Cause Mortality
66%
Heart Infarction
33%