Modern approaches to statistical analysis and interpretation of results

J. Sterne (Bristol, United Kingdom)

Source: Annual Congress 2008 - PG10 - Getting it right – planning, realising, analysing and publishing research projects

Slide presentationPDF journal article, handout or slides

Rating: 3
You must login to grade this presentation.

Share or cite this content

Citations should be made in the following way:
J. Sterne (Bristol, United Kingdom). Modern approaches to statistical analysis and interpretation of results. Annual Congress 2008 - PG10 - Getting it right – planning, realising, analysing and publishing research projects

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:
The best statistical approaches for analysis of GWIS
Source: ERS Research Seminar 2015
Year: 2015


The principles of statistical analyses and scientific reports
Source: Annual Congress 2004 - PG17 - How to conduct a scientific survey on respiratory health
Year: 2004


Pitfalls and recommendations on study analysis and statistics
Source: ERS Live 2007
Year: 2007

Quantitative proteomic analysis: methods and applications
Source: Lung Science Conference 2004 - Application of our knowledge of the basic processes of lung inflammation in lung diseases
Year: 2004


Critical analysis of diagnostic techniques
Source: Annual Congress 2003 - The diagnosis and prevention of ventilator-associated pneumonia
Year: 2003

Statistical methods applied to diagnostic studies
Source: ERS Course 2015
Year: 2015



A data management and analysis platform for RASP-UK multiomics clinical datasets
Source: Virtual Congress 2021 – Exacerbations of chronic respiratory diseases, including SARS-CoV-2
Year: 2021



Some current challenges in statistical methods to illuminate disease genetics
Source: Research Seminar 2009 - Post Genome Respiratory Epidemiology II - An interdisciplinary challenge
Year: 2008


Statistical methods applied to interventional studies
Source: ERS Course 2015
Year: 2015



Laboratorial analysis and clinical interpretation of Mycobacterial species results
Source: Eur Respir J 2005; 26: Suppl. 49, 426s
Year: 2005

Some principles and practices of genetic biobanking studies
Source: Eur Respir J 2009; 33: 419-425
Year: 2009



Statistical methods applied to observational studies
Source: ERS Course 2015
Year: 2015



Practical approaches to analysis of DNA microarrays
Source: Annual Congress 2004 - PG7 - Application of genomics and proteomics to pulmonary disease
Year: 2004


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


Research methodology and data analysis
Source: International Congress 2015 – ME11 Research methodology and data analysis
Year: 2015

Results and interpretation of field exercise tests
Source: Annual Congress 2008 - The use of field exercise tests in clinical services
Year: 2008