Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Aaron J Baraff"'
Autor:
Mark P. Jensen, Jeffrey G. Jarvik, Pradeep Suri, Janna L. Friedly, Aaron J. Baraff, Patrick J. Heagerty, Laura S. Gold, Kwun Chuen Gary Chan, Anna Korpak, Andrew K. Timmons
Publikováno v:
The Journal of Pain. 24:332-344
The 0 to 10 numeric rating scale (NRS) of pain intensity is a standard outcome in randomized controlled trials (RCTs) of pain treatments. For individuals taking analgesics, there may be a disparity between “observed” pain intensity (the NRS, irre
Autor:
Marc Blondon, Andrew K. Timmons, Aaron J Baraff, James S. Floyd, Nicholas L. Smith, Laura B. Harrington, Anna M Korpak
Publikováno v:
Menopause
Objective Hormone therapy (HT) is used by menopausal women to treat vasomotor symptoms. Venous thromboembolism (VTE) is an important risk of HT use, and more knowledge on the comparative safety of different estrogenic compounds is useful for women wh
Autor:
Yu Wu, Yuhua Liu, Shao-Chun Li, Yajuan J. Liu, George Jour, Benjamin Hoch, Aaron J. Baraff, Robert W. Ricciotti, McKenna Kyriss
Publikováno v:
Cancer Genetics. :69-80
Dedifferentiated liposarcoma (DDLS) is characterized at the molecular level by amplification of genes within 12q13-15 including MDM2 and CDK4 . However, other than FNCLCC grade, prognostic markers are limited. We aim to identify molecular prognostic
Autor:
Vladislav A. Petyuk, Douglas C. Bauer, Jeong Youn Lim, Paul D. Piehowski, Christine G. Lee, Aaron J. Baraff, Jack Wiedrick, Richard D. Smith, Jodi Lapidus, Arie Baratt, Eric S. Orwoll, Erin S. Baker, Nancy E Lane, Peggy M. Cawthon, Jon M. Jacobs, Carrie M. Nielson, Jian Shen, Shannon K. McWeeney
Publikováno v:
Journal of Bone and Mineral Research. 32:1559-1567
Serum proteomics analysis may lead to the discovery of novel osteoporosis biomarkers. The Osteoporotic Fractures in Men (MrOS) study comprises men ≥65 years old in the US who have had repeated BMD measures and have been followed for incident fractu
Publikováno v:
Proceedings of the National Academy of Sciences. 113:14668-14673
Respondent-driven sampling (RDS) is a network-based form of chain-referral sampling used to estimate attributes of populations that are difficult to access using standard survey tools. Although it has grown quickly in popularity since its introductio
Publikováno v:
Ann. Appl. Stat. 9, no. 3 (2015), 1247-1277
We develop methods for estimating the size of hard-to-reach populations from data collected using network-based questions on standard surveys. Such data arise by asking respondents how many people they know in a specific group (e.g., people named Mic