e-learning
resources
Courses
2015
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
Statistics in respiratory research: from data to application
A. Bignamini (Milan, Italy)
Source:
ERS Course 2015
Number:
5
Rating:
You must
login
to grade this presentation.
Share or cite this content
Citations should be made in the following way:
A. Bignamini (Milan, Italy). Statistics in respiratory research: from data to application. ERS Course 2015
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 Basic translational and clinical research – building a career in paediatric pulmonology- experiences from clinicians in lower middle income countries
ERS/EAACI statement on severe exacerbations in asthma in adults: facts, priorities and key research questions
Definition and history of sarcoidosis
Related content which might interest you:
Reporting data analysis methods in high impact respiratory journals
Source: International Congress 2016 – Abstracts in medical education, the web and the internet
Year: 2016
Research emphysis in China: big data network for respiratory health
Source: International Congress 2019 – Chinese programme 2019: Part I
Year: 2019
Reporting data analysis methods in high-impact respiratory journals
Source: ERJ Open Res, 4 (2) 00140-2017; 10.1183/23120541.00140-2017
Year: 2018
Statistics for the European Respiratory Journal
Source: Eur Respir J 2001; 18: 393-401
Year: 2001
A bibliometric evaluation of European Union research of the respiratory system from 1987-1998
Source: Eur Respir J 2001; 17: 1175-1180
Year: 2001
Classification of clinical spirometry data using global lung initiative (GLI) and national health and nutrition examination survey (NHANES-III) models
Source: Annual Congress 2013 –Expiration, exhalation and exhaustion: measures of dynamic volumes, breath analysis and respiratory muscles
Year: 2013
New uses of data: from big data to artificial intelligence and clinical decision tools in children with respiratory diseases
Source: Virtual Congress 2021 – New technologies for the management of children with respiratory diseases
Year: 2021
Spirometry longitudinal data analysis software (SPIROLA) in a routine clinical laboratory
Source: International Congress 2014 – Respiratory function: quality and new technologies
Year: 2014
International research outputs and funding in respiratory medicine
Source: Eur Respir J 2003; 22: Suppl. 45, 484s
Year: 2003
The primary care routine data registry BeoNet: First pilot phase results for COPD research
Source: International Congress 2015 – Patient health gains related to the economic effectiveness of disease management programmes
Year: 2015
Some principles and practices of genetic biobanking studies
Source: Eur Respir J 2009; 33: 419-425
Year: 2009
Research methodology and data analysis
Source: International Congress 2015 – ME11 Research methodology and data analysis
Year: 2015
Electronic data collection as an aid to quantification of the burden of COPD in general practice
Source: Eur Respir J 2004; 24: Suppl. 48, 87s
Year: 2004
Application of big data technology for COVID-19: Health economics of COVID
Source: ERS Course 2021 - COVID-19: State of the art
Year: 2021
Bibliometric analysis of respiratory research within biomedical research
Source: ERS Summit on priorities in respiratory medicine 2011
Year: 2011
Tools for research on respiratory health
Source: Annual Congress 2004 - PG17 - How to conduct a scientific survey on respiratory health
Year: 2004
Late Breaking Abstract - COVID-19 epidemic in Respiratory Diseases Unit: partioning analysis and data mining. Results from a single Institution experience.
Source: Virtual Congress 2020 – Air pollution and comorbidities
Year: 2020
Development and validation of respiratory nurse´s opinion about nursing standardized language, care plans and conceptual models: MOCMEL Survey
Source: International Congress 2017 – Patient experience of smoking cessation: new approaches
Year: 2017
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