Using Bayesian graphical models to model biases in observational studies and to combine multiple sources of data: application to low birth weight and water disinfection by-products
Version of Record online: 3 FEB 2009
© 2009 Royal Statistical Society
Journal of the Royal Statistical Society: Series A (Statistics in Society)
Volume 172, Issue 3, pages 615–637, June 2009
How to Cite
Molitor, N.-T., Best, N., Jackson, C. and Richardson, S. (2009), Using Bayesian graphical models to model biases in observational studies and to combine multiple sources of data: application to low birth weight and water disinfection by-products. Journal of the Royal Statistical Society: Series A (Statistics in Society), 172: 615–637. doi: 10.1111/j.1467-985X.2008.00582.x
- Issue online: 18 MAY 2009
- Version of Record online: 3 FEB 2009
- [Received February 2008. Final revision October 2008]
Options for accessing this content:
- If you are a society or association member and require assistance with obtaining online access instructions please contact our Journal Customer Services team.
- If your institution does not currently subscribe to this content, please recommend the title to your librarian.
- Login via other institutional login options http://onlinelibrary.wiley.com/login-options.
- You can purchase online access to this Article for a 24-hour period (price varies by title)
- New Users: Please register, then proceed to purchase the article.
Login via OpenAthens
Search for your institution's name below to login via Shibboleth.
Registered Users please login:
- Access your saved publications, articles and searches
- Manage your email alerts, orders and subscriptions
- Change your contact information, including your password
Please register to:
- Save publications, articles and searches
- Get email alerts
- Get all the benefits mentioned below!