e-learning
resources
ERJ
2008
Login
Search all ERS
e-learning
resources
Disease Areas
Airways Diseases
Interstitial Lung Diseases
Respiratory Critical Care
Respiratory Infections
Paediatric Respiratory Diseases
Pulmonary Vascular Diseases
Sleep and Breathing Disorders
Thoracic Oncology
Events
International Congress
Courses
Webinars
Conferences
Research Seminars
Journal Clubs
Publications
Breathe
Monograph
ERJ
ERJ Open Research
ERR
European Lung White Book
Handbook Series
Guidelines
All ERS guidelines
e-learning
CME Online
Case reports
Short Videos
SpirXpert
Procedure Videos
CME tests
Reference Database of Respiratory Sounds
Radiology Image Challenge
Brief tobacco interventions
EU Projects
VALUE-Dx
ERN-LUNG
ECRAID
UNITE4TB
Disease Areas
Events
Publications
Guidelines
e-learning
EU Projects
Login
Search
Statistical analysis of exacerbation rates in COPD: TRISTAN and ISOLDE revisited
Keene, O. N., Calverley, P. M. A., Jones, P. W., Vestbo, J., Anderson, J. A.
Source:
Eur Respir J 2008; 32: 17-24
Journal Issue:
July
Disease area:
Airway diseases
Rating:
You must
login
to grade this presentation.
Share or cite this content
Citations should be made in the following way:
Keene, O. N., Calverley, P. M. A., Jones, P. W., Vestbo, J., Anderson, J. A.. Statistical analysis of exacerbation rates in COPD: TRISTAN and ISOLDE revisited. Eur Respir J 2008; 32: 17-24
You must
login
to share this Presentation/Article on Twitter, Facebook, LinkedIn or by email.
Member's Comments
No comment yet.
You must
Login
to comment this presentation.
Related content which might interest you:
Panel discussion on ERS Statement – A core outcome set for clinical trials evaluating the management of COPD exacerbations
ERS statement: a core outcome set for clinical trials evaluating the management of COPD exacerbations
Evidence-based eHealth for COPD
Related content which might interest you:
Statistical analysis of COPD exacerbations
Source: Eur Respir J 2008; 32: 1421-1422
Year: 2008
Statistical cluster analysis on the BTS refractory asthma cohort
Source: Annual Congress 2011 - Respiratory epidemiology: methods, definitions and phenotypes
Year: 2011
A multivariate geo-statistical Bayesian model for analyzing the spatial prevalence of COPD: Implications on risk factors
Source: International Congress 2015 – Epidemiology of respiratory disease
Year: 2015
LSC Abstract – Multi-level differential network analysis of COPD exacerbations
Source: International Congress 2016 – New signalling pathways in COPD
Year: 2016
Multi-level differential network analysis of COPD exacerbations
Source: Eur Respir J, 50 (3) 1700075; 10.1183/13993003.00075-2017
Year: 2017
Risk factors of poor outcomes after admission for a COPD exacerbations. Multivariate logistic predictive models
Source: International Congress 2015 – COPD: interesting notes
Year: 2015
Dealing with missing longitudinal FEV1 observations when used as time-dependent covariate data in survival analysis for COPD patients within a regional UK population-level database
Source: International Congress 2015 – Epidemiology of respiratory disease
Year: 2015
Hierarchical linear models for longitudinal change in COPD - is there an effect of differential dropout between treatment groups on estimated decline rates?
Source: Eur Respir J 2001; 18: Suppl. 33, 151s
Year: 2001
Elastic principal graphs for clinical trajectory analysis in COPD: a COPDGene study
Source: Virtual Congress 2021 – Deep phenotyping of obstructive diseases for precision medicine
Year: 2021
Multivariate cluster analysis of immunopathological and clinical data from the U-BIOPRED severe asthma study: Preliminary results
Source: International Congress 2015 – New insights into lung disease pathogenesis
Year: 2015
The superexacerbator phenotype in patients with COPD: a descriptive analysis
Source: ERJ Open Res, 5 (2) 00235-2018; 10.1183/23120541.00235-2018
Year: 2019
Changing trends in age-adjusted pulmonary fibrosis mortality in the USA: a joinpoint regression analysis
Source: Eur Respir J, 54 (1) 1900364; 10.1183/13993003.00364-2019
Year: 2019
High-dimensional multivariable analysis of asthma and its co-morbidities
Source: Virtual Congress 2020 – Precision endotyping of asthma: time for action
Year: 2020
Occupational exposure as a predictor of asthma exacerbation – a multicenter multivariate logistical analysis.
Source: Virtual Congress 2021 – Occupational rhinitis and asthma
Year: 2021
Lung function decline in COPD trials: bias from regression to the mean
Source: Eur Respir J 2008; 32: 829-831
Year: 2008
Estimation of the prognostic value of respiratory and metabolic parameters in treatment of shock patients by means of logistic regression analysis
Source: Eur Respir J 2002; 20: Suppl. 38, 82s
Year: 2002
Late Breaking Abstract - Extrafine triple therapy reduces exacerbations in GOLD B COPD patients: post-hoc analysis of TRILOGY and TRINITY
Source: International Congress 2017 – Update and new perspectives in Airway Diseases
Year: 2017
Identification of factors associated with exacerbation risk in severe COPD: Multivariate analysis of the WISDOM study
Source: International Congress 2016 – Pharmacological management of COPD
Year: 2016
Application of machine learning algorithms to predict loss of asthma control: A post-hoc analysis of INCONTRO study
Source: Virtual Congress 2020 – Clinical characteristics and diagnostic tools for phenotyping asthma and COPD
Year: 2020
Statistical analysis of anthropometric differences between COPD stages 1 and 2
Source: International Congress 2016 – Features and impact of comorbidities in COPD
Year: 2016
We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking "Accept", you consent to the use of the cookies.
Accept