Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Rebecca Yates Coley"'
Publikováno v:
Biom J
Clinical data are clustered within people, complicating prediction modeling. Cluster size is often informative; people receiving more care are less healthy and at higher risk of poor outcomes. We compared four sampling frameworks for estimating predi
Autor:
Mufaddal Mamawala, Aaron Fisher, Kenneth J. Pienta, Scott L. Zeger, Rebecca Yates Coley, H.B. Carter
Publikováno v:
Biometrics. 73:625-634
In this article, we present a Bayesian hierarchical model for predicting a latent health state from longitudinal clinical measurements. Model development is motivated by the need to integrate multiple sources of data to improve clinical decisions abo
Autor:
Karla Kerlikowske, Louise M. Henderson, Janie M. Lee, Sally D. Herschorn, Garth H. Rauscher, Rebecca Yates Coley, Anna N.A. Tosteson, Diana L. Miglioretti, Tracy Onega, Kathryn P. Lowry, Christoph I. Lee, Brian L. Sprague
Publikováno v:
JAMA Network Open
Key Points Question Does screening performance of digital breast tomosynthesis vs digital mammography differ by breast density, age, or screening round in community practice? Findings In this comparative effectiveness study assessing 1 584 079 screen
Autor:
Melinda Krakow, Joseph H. Huntley, H. Ballentine Carter, Craig Evan Pollack, Rebecca Yates Coley, Archana Radhakrishnan
Publikováno v:
Urology. 121
Objective To determine whether providing individualized predictions of health outcomes to men on active surveillance (AS) alleviates cancer-related anxiety and improves risk understanding. Materials and Methods We consecutively recruited men from our
Autor:
H. Ballentine Carter, Kenneth J. Pienta, Rebecca Yates Coley, Scott L. Zeger, Mufaddal Mamawala, Aaron Fisher
Publikováno v:
Journal of Urology. 195
Inconsistent results in recent HIV prevention trials of pre-exposure prophylactic interventions may be due to heterogeneity in risk among study participants. Intervention effectiveness is most commonly estimated with the Cox model, which compares eve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fec808a5066bb5a5f57ddff3b88f0230
https://europepmc.org/articles/PMC5039019/
https://europepmc.org/articles/PMC5039019/
Autor:
Rebecca Yates, Coley, Aaron J, Fisher, Mufaddal, Mamawala, Herbert Ballentine, Carter, Kenneth J, Pienta, Scott L, Zeger
Publikováno v:
Biometrics. 73(2)
In this article, we present a Bayesian hierarchical model for predicting a latent health state from longitudinal clinical measurements. Model development is motivated by the need to integrate multiple sources of data to improve clinical decisions abo
Publikováno v:
American Journal of Obstetrics and Gynecology. 206:S132