LDR | | 02125nam u200421 4500 |
001 | | 000000420533 |
005 | | 20190215164543 |
008 | | 181129s2018 |||||||||||||||||c||eng d |
020 | |
▼a 9780438132801 |
035 | |
▼a (MiAaPQ)AAI10752166 |
035 | |
▼a (MiAaPQ)medicine.yale:10714 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
082 | 0 |
▼a 610 |
100 | 1 |
▼a Ader, Jeremy. |
245 | 10 |
▼a Precision Medicine in Atrial Fibrillation: A Risk Model for Management with Dabigatran v. Warfarin. |
260 | |
▼a [S.l.]:
▼b Yale University.,
▼c 2018. |
260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2018. |
300 | |
▼a 75 p. |
500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B. |
500 | |
▼a Adviser: Nihar R. Desai. |
502 | 1 |
▼a Thesis (M.D.)--Yale University, 2018. |
520 | |
▼a The Precision Medicine Initiative aims to advance Medicine from "one-size-fits-all" treatments to more individualized approaches. Clinical trials evaluate treatments by analyzing average outcomes, and thus risk overlooking potential differences |
520 | |
▼a We analyzed the Randomized Evaluation of Long-Term Anticoagulation Therapy (RELY) trial of dabigatran versus warfarin in patients with atrial fibrillation, to determine if the application of multivariate predictive models could demonstrate heter |
520 | |
▼a These findings demonstrate heterogeneity of treatment effect in the RE-LY trial, and the ability of multivariate risk models to identify distinct treatment risks for individual patients. Such models could be used in clinical practice provide pat |
590 | |
▼a School code: 0265. |
650 | 4 |
▼a Medicine. |
650 | 4 |
▼a Epidemiology. |
690 | |
▼a 0564 |
690 | |
▼a 0766 |
710 | 20 |
▼a Yale University.
▼b Yale School of Medicine. |
773 | 0 |
▼t Dissertation Abstracts International
▼g 79-11B(E). |
773 | |
▼t Dissertation Abstract International |
790 | |
▼a 0265 |
791 | |
▼a M.D. |
792 | |
▼a 2018 |
793 | |
▼a English |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997216
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
980 | |
▼a 201812
▼f 2019 |
990 | |
▼a ***1012033 |