Abstract
Modeling outcomes in HIV care can provide insight into future trends and costs relating to various care strategies. Now, researchers have used a Monte Carlo health-state transition simulation to predict long-term outcomes for a hypothetical 10,000 patients in each of four CD4-count categories on care entry: ≤200, 201–350, 351–500, and 501–900 cells/mm3. They assumed that a patient entering care at a CD4 count >500 cells/mm3 would …
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
