Send to:

Choose Destination
See comment in PubMed Commons below
Respirology. 2014 Jan;19(1):9-13. doi: 10.1111/resp.12223.

Modern statistical methods in respiratory medicine.

Author information

  • 1School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.


Statistics sits right at the heart of scientific endeavour in respiratory medicine and many other disciplines. In this introductory article, some key epidemiological concepts such as representativeness, random sampling, association and causation, and confounding are reviewed. A brief introduction to basic statistics covering topics such as frequentist methods, confidence intervals, hypothesis testing, P values and Type II error is provided. Subsequent articles in this series will cover some modern statistical methods including regression models, analysis of repeated measures, causal diagrams, propensity scores, multiple imputation, accounting for measurement error, survival analysis, risk prediction, latent class analysis and meta-analysis.

© 2013 The Authors. Respirology © 2013 Asian Pacific Society of Respirology.


association; causality; estimation; sampling; statistics

[PubMed - indexed for MEDLINE]
Free full text
PubMed Commons home

PubMed Commons

How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Blackwell Publishing
    Loading ...
    Write to the Help Desk