e-learning
resources
Amsterdam 2011
Tuesday, 27.09.2011
Highlights in lung function 2011
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
Survival analysis can help determine which TLco prediction equations to use for patient data
H. Ward, R. Stockley, M. Miller (Birmingham, United Kingdom)
Source:
Annual Congress 2011 - Highlights in lung function 2011
Session:
Highlights in lung function 2011
Session type:
Oral Presentation
Number:
3417
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:
H. Ward, R. Stockley, M. Miller (Birmingham, United Kingdom). Survival analysis can help determine which TLco prediction equations to use for patient data. Eur Respir J 2011; 38: Suppl. 55, 3417
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: Diagnostic tools for Obstructive Sleep Apnoea in adults and children
Expert interview: Physiological classification of lung function impairment
Occupational exposures to respiratory diseases: A case-based discussion
Related content which might interest you:
Comparison of different analysis algorithms to calculate multiple-breath washout outcomes
Source: ERJ Open Res, 4 (3) 00021-2017; 10.1183/23120541.00021-2017
Year: 2018
Combining exhaled-breath analysis data with clinical parameters to improve the diagnosis of lung cancer
Source: International Congress 2019 – Early detection, follow-up and epidemiology of lung cancer
Year: 2019
Analysis of different equations for estimation of maximal workload in patients with COPD
Source: Annual Congress 2010 - Exercise training: new groups, new methods and outcomes
Year: 2010
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
Validation of lung function prediction equations from patient survival data
Source: Eur Respir J 2012; 39: 1181-1187
Year: 2012
External validation of the French predictive model to estimate PAH survival: A REVEAL analysis
Source: Annual Congress 2012 - Pulmonary circulation: clinical databases and registries
Year: 2012
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
A model based parametric analysis of the CO
2
elimination versus expired volume curve for the computerized analysis of ventilatory efficiency
Source: Eur Respir J 2002; 20: Suppl. 38, 106s
Year: 2002
The best statistical approaches for analysis of GWIS
Source: ERS Research Seminar 2015
Year: 2015
New, effective method to calculate parameters of respiratory system model used to interpret transfer impedance data
Source: Eur Respir J 2003; 22: Suppl. 45, 98s
Year: 2003
Box-Jenkins transfer function modelling for accurate determination of VO2 kinetics in COPD patients
Source: International Congress 2019 – Cardiopulmonary exercise testing
Year: 2019
Workstation 3 - Spirometry - how to perform a spirometic test, implement safety measures and select the best values
Source: Annual Congress 2013 –Educational skills workshop 8: Spirometry knowledge and basic skills (European spirometry training programme)
Year: 2013
Which modelling methodology is best?
Source: ERS Research Seminar 2017 – The impact of air pollution on respiratory health
Year: 2018
Estimation of peak work load based on 6-min walk distance and general demographics in patients with COPD: A new regression equation
Source: Annual Congress 2011 - Exercise tests and emerging outcomes: defining the impact of pulmonary rehabilitation
Year: 2011
Continuous detection and prediction model of bacteremia for in-patients: deep learning for time-series EHR data
Source: Virtual Congress 2020 – Lower respiratory tract infections in clinical practice
Year: 2020
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
Comparison of regression models for developing spirometric reference values
Source: International Congress 2016 – Functional assessment of the airways
Year: 2016
Assessing asthma control using a composite measure based on GINA/NIH guidelines: an analysis of GOAL baseline data
Source: Eur Respir J 2002; 20: Suppl. 38, 47s
Year: 2002
Validation of the current equations to estimate peak work load based on 6-min walk distance and general demographics in COPD patients entering pulmonary rehabilitation
Source: Annual Congress 2011 - Skeletal muscle weakness in COPD: physical (in)activity and biological markers
Year: 2011
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