Using Risk Models to Make Lung Cancer Screening Decisions: Evidence-Based and Getting Better
Get full access to this article
View all available purchase options and get full access to this article.
References
Information & Authors
Information
Published In
History
Keywords
- Cancer screening
- Cancers and neoplasms
- Clinical trials
- Computed axial tomography
- Diagnostic imaging
- Diagnostic medicine
- Diagnostic radiology
- Diagnostic techniques
- Drug research and development
- Epidemiology
- Health care
- Health information technology
- Hematology and oncology
- Life expectancy
- Lung and intrathoracic tumors
- Medical ethics, humanities, and education
- Pharmacology
- Population statistics
- Prevention, policy, and public health
- Research and reporting methods
- Science policy
- Screening and prevention
- Statistical methods
- Vital statistics
Authors
Metrics & Citations
Metrics
Citations
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. For an editable text file, please select Medlars format which will download as a .txt file. Simply select your manager software from the list below and click Download.
For more information or tips please see 'Downloading to a citation manager' in the Help menu.
Using Risk Models to Make Lung Cancer Screening Decisions: Evidence-Based and Getting Better. Ann Intern Med.2019;171:669-670. [Epub 22 October 2019]. doi:10.7326/M19-2869
View More
Get Access
Login Options:
Purchase
You will be redirected to acponline.org to sign-in to Annals to complete your purchase.
Create your Free Account
You will be redirected to acponline.org to create an account that will provide access to Annals.
Submit a Comment
Contributors must reveal any conflict of interest. Comments are moderated. Please see our information for authorsregarding comments on an Annals publication.