Published by Oxford University Press on behalf of the International Epidemiological Association © The Author 2006; all rights reserved.
Commentary |
Commentary: We still need observational studies of drugsthey just need to be better
1 Department of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK
2 Division of Epidemiology and Public Health, University of Nottingham, NG5 1PB, UK
* Corresponding author. E-mail: liam.smeeth@lshtm.ac.uk
| The first 10% of the full text of this article appears below. |
The paper by de Vries and colleagues examined different observational study designs used to assess the effects of statin use and demonstrates three key points. First, the need for accurate matching on key prognostic variablesin this case age. Second, the need to consider the underlying biology when designing epidemiological studies. Third, they suggest that a casecontrol study nested within a selected group of people may be more prone to bias than a population-based study. However there may be a bigger issue: both the observational designs found a substantial protective effect, while robust data from randomized trials suggests there is no effect. Does
![]()
CiteULike
Connotea
Del.icio.us What's this?
This article has been cited by other articles:
![]() |
W. Maziak The triumph of the null hypothesis: epidemiology in an age of change Int. J. Epidemiol., April 1, 2009; 38(2): 393 - 402. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. D. Hughes and P. L. Williams Challenges in Using Observational Studies to Evaluate Adverse Effects of Treatment N. Engl. J. Med., April 26, 2007; 356(17): 1705 - 1707. [Full Text] [PDF] |
||||

