Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Briana Cameron"'
Publikováno v:
Journal of Statistical Software, Vol 94, Iss 1, Pp 1-16 (2020)
The consideration of a patient's treatment preference may be essential in determining how a patient will respond to a particular treatment. While traditional clinical trials are unable to capture these effects, the two-stage randomized preference des
Externí odkaz:
https://doaj.org/article/593362728484400f8f90689ffb4c99d1
Publikováno v:
Ophthalmology Retina. 6:786-795
To determine whether the rates of macular atrophy (MA) differ between eyes with neovascular age-related macular degeneration (nAMD) treated continuously with the Port Delivery System with ranibizumab (PDS) and those treated with ranibizumab given as
Publikováno v:
Wednesday, April 26.
Autor:
James R. Ashenhurst, Hoang Nhan, Janie F. Shelton, Shirley Wu, Joyce Y. Tung, Sarah L. Elson, James K. Stoller, Michelle Agee, Stella Aslibekyan, Adam Auton, Elizabeth Babalola, Robert K. Bell, Jessica Bielenberg, Katarzyna Bryc, Emily Bullis, Briana Cameron, Daniella Coker, Gabriel Cuellar Partida, Devika Dhamija, Sayantan Das, Teresa Filshtein, Kipper Fletez-Brant, Pierre Fontanillas, Will Freyman, Pooja M. Gandhi, Karl Heilbron, Barry Hicks, David A. Hinds, Karen E. Huber, Ethan M. Jewett, Yunxuan Jiang, Aaron Kleinman, Katelyn Kukar, Vanessa A. Lane, Keng-Han Lin, Maya Lowe, Marie K. Luff, Jennifer C. McCreight, Matthew H. McIntyre, Kimberly F. McManus, Steven J. Micheletti, Meghan E. Moreno, Joanna L. Mountain, Sahar V. Mozaffari, Priyanka Nandakumar, Elizabeth S. Noblin, Jared O’Connell, Aaron A. Petrakovitz, G. David Poznik, Morgan Schumacher, Anjali J. Shastri, Jingchunzi Shi, Suyash Shringarpure, Chao Tian, Vinh Tran, Xin Wang, Wei Wang, Catherine H. Weldon, Peter Wilton
Publikováno v:
Chest. 161:373-381
Background Alpha-1 antitrypsin deficiency (AATD) is an autosomal co-dominant condition that predisposes to emphysema, cirrhosis, panniculitis, and vasculitis. Under-recognition has prompted efforts to enhance early detection and testing of at-risk in
Autor:
Koji Shinoda, Rui Li, Ayman Rezk, Ina Mexhitaj, Kristina R. Patterson, Mihir Kakara, Leah Zuroff, Jeffrey L. Bennett, H.-Christian von Büdingen, Robert Carruthers, Keith R. Edwards, Robert Fallis, Paul S. Giacomini, Benjamin M. Greenberg, David A. Hafler, Carolina Ionete, Ulrike W. Kaunzner, Christopher B. Lock, Erin E. Longbrake, Gabriel Pardo, Fredrik Piehl, Martin S. Weber, Tjalf Ziemssen, Dina Jacobs, Jeffrey M. Gelfand, Anne H. Cross, Briana Cameron, Bruno Musch, Ryan C. Winger, Xiaoming Jia, Christopher T. Harp, Ann Herman, Amit Bar-Or
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, vol 120, iss 3
A small proportion of multiple sclerosis (MS) patients develop new disease activity soon after starting anti-CD20 therapy. This activity does not recur with further dosing, possibly reflecting deeper depletion of CD20-expressing cells with repeat inf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::384a4285b60b8efee3e53099aac80957
https://escholarship.org/uc/item/2nb3w4bz
https://escholarship.org/uc/item/2nb3w4bz
Publikováno v:
Statistics in Medicine. 39:3653-3683
While the traditional clinical trial design lays emphasis on testing the treatment effect between randomly assigned groups, it ignores the role of patient preference for a particular treatment in the trial. Yet, for healthcare providers who seek to o
Publikováno v:
Journal of Statistical Software, Vol 94, Iss 1, Pp 1-16 (2020)
Journal of Statistical Software; Vol 94 (2020); 1-16
Journal of Statistical Software; Vol 94 (2020); 1-16
The consideration of a patient's treatment preference may be essential in determining how a patient will respond to a particular treatment. While traditional clinical trials are unable to capture these effects, the two-stage randomized preference des
Publikováno v:
Public Health Nutr
Objective:To characterise dietary habits, their temporal and spatial patterns and associations with BMI in the 23andMe study population.Design:We present a large-scale cross-sectional analysis of self-reported dietary intake data derived from the web
Autor:
Acevedo A, Jubb A, Sarov-Blat L, Yue P, Dhamija D, Briana Cameron, Adam Auton, Jiang Y, Wang W, Robert Gentleman, Suyash Shringarpure
A key challenge in the study of rare disease genetics is assembling large case cohorts for well-powered studies. We demonstrate the use of self-reported diagnosis data to study rare diseases at scale. We performed genome-wide association studies (GWA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2813081552439cff9fe9bfe5749e1b3
https://doi.org/10.1101/2021.06.09.21258643
https://doi.org/10.1101/2021.06.09.21258643
Autor:
Upekha E. Liyanage, Stuart MacGregor, D. Timothy Bishop, Jianxin Shi, Jiyuan An, Jue Sheng Ong, Xikun Han, Richard A. Scolyer, Nicholas G. Martin, Sarah E. Medland, Enda M. Byrne, Adèle C. Green, Robyn P.M. Saw, John F. Thompson, Jonathan Stretch, Andrew Spillane, Yunxuan Jiang, Chao Tian, Scott G. Gordon, David L. Duffy, Catherine M. Olsen, David C. Whiteman, Georgina V. Long, Mark M. Iles, Maria Teresa Landi, Matthew H. Law, Michelle Agee, Stella Aslibekyan, Adam Auton, Elizabeth Babalola, Robert K. Bell, Jessica Bielenberg, Katarzyna Bryc, Emily Bullis, Briana Cameron, Daniella Coker, Gabriel Cuellar Partida, Devika Dhamija, Sayantan Das, Sarah L. Elson, Teresa Filshtein, Kipper Fletez-Brant, Pierre Fontanillas, Will Freyman, Pooja M. Gandhi, Karl Heilbron, Barry Hicks, David A. Hinds, Karen E. Huber, Ethan M. Jewett, Aaron Kleinman, Katelyn Kukar, Keng-Han Lin, Maya Lowe, Marie K. Luff, Jennifer C. McCreight, Matthew H. McIntyre, Kimberly F. McManus, Steven J. Micheletti, Meghan E. Moreno, Joanna L. Mountain, Sahar V. Mozaffari, Priyanka Nandakumar, Elizabeth S. Noblin, Jared O'Connell, Aaron A. Petrakovitz, G. David Poznik, Anjali J. Shastri, Janie F. Shelton, Jingchunzi Shi, Suyash Shringarpure, Vinh Tran, Joyce Y. Tung, Xin Wang, Wei Wang, Catherine H. Weldon, Peter Wilton
Publikováno v:
The Journal of investigative dermatology. 142(6)
Genome-wide association studies (GWAS) have identified a number of risk loci for cutaneous melanoma. Cutaneous melanoma shares overlapping genetic risk (genetic correlation) with a number of other traits, including its risk factors such as sunburn pr