scispace - formally typeset
A

Amy B. Knudsen

Researcher at Harvard University

Publications -  63
Citations -  3600

Amy B. Knudsen is an academic researcher from Harvard University. The author has contributed to research in topics: Colorectal cancer & Cost effectiveness. The author has an hindex of 26, co-authored 57 publications receiving 3060 citations. Previous affiliations of Amy B. Knudsen include ITA Software.

Papers
More filters
Journal ArticleDOI

Evaluating Test Strategies for Colorectal Cancer Screening: A Decision Analysis for the U.S. Preventive Services Task Force

TL;DR: Two independent microsimulation modeling groups from the Cancer Intervention and Surveillance Modeling Network (CISNET), funded by the National Cancer Institute, used a comparative modeling approach to compare life-years gained relative to resource use of different strategies for colorectal cancer screening.
Journal ArticleDOI

Estimation of Benefits, Burden, and Harms of Colorectal Cancer Screening Strategies: Modeling Study for the US Preventive Services Task Force

TL;DR: This microsimulation modeling study of a previously unscreened population undergoing CRC screening that assumed 100% adherence identified a set of model-recommendable strategies that provide similar life-years gained (LYG) and a comparable balance between LYG and screening burden.
Journal ArticleDOI

Cost-effectiveness of Colorectal Cancer Screening

TL;DR: In this paper, a cost-effectiveness analysis of different colorectal cancer screening methods was conducted to determine the preferred method from a costeffectiveness point of view, and the results showed that the screening tests of stool DNA testing, computed tomographic colonography and capsule endoscopy were not yet cost-effective compared with the established screening options.
Journal Article

cost effectiveness of colorectal cancer screenting

TL;DR: There was agreement among studies that the newly developed screening tests of stool DNA testing, computed tomographic colonography, and capsule endoscopy were not yet cost-effective compared with the established screening options.