Zobrazeno 1 - 10
of 740
pro vyhledávání: '"James S Hodges"'
Autor:
McCarthy, Ian M.
Publikováno v:
Journal of the American Statistical Association, 2015 Sep 01. 110(511), 1323-1323.
Externí odkaz:
http://www.jstor.org/stable/24739730
Autor:
Brent D. Leininger, Pamela Jo Johnson, Gert Bronfort, Karen M. Kuntz, Eva Enns, James S. Hodges, Roni Evans
Publikováno v:
BMC Musculoskeletal Disorders, Vol 25, Iss 1, Pp 1-13 (2024)
Abstract Background Randomized clinical trials (RCTs) are the gold standard for assessing treatment effectiveness; however, they have been criticized for generalizability issues such as how well trial participants represent those who receive the trea
Externí odkaz:
https://doaj.org/article/92c35c0238e84435a57e6e060350fe18
Autor:
Tasneem R. Abdel-Karim, James S. Hodges, Kevan C. Herold, Timothy L. Pruett, Karthik V. Ramanathan, Bernhard J. Hering, Ty B. Dunn, Varvara A. Kirchner, Gregory J. Beilman, Melena D. Bellin
Publikováno v:
Transplant International, Vol 37 (2024)
The instant blood-mediated inflammatory response (IBMIR) causes islet loss and compromises diabetes outcomes after total pancreatectomy with islet autotransplant (TPIAT). We previously reported a possible benefit of etanercept in maintaining insulin
Externí odkaz:
https://doaj.org/article/59a5c9a352c64d349d9c0a3738f741f5
Autor:
Yoshihide Nanno, MD, PhD, James S. Hodges, PhD, Martin L. Freeman, MD, Guru Trikudanathan, MD, Sarah J. Schwarzenberg, MD, Elissa M. Downs, MD, Karthik Ramanathan, MD, Timothy L. Pruett, MD, Gregory J. Beilman, MD, Srinath Chinnakotla, MD, MCh, Bernhard J. Hering, MD, Melena D. Bellin, MD
Publikováno v:
Transplantation Direct, Vol 10, Iss 1, p e1561 (2024)
Background. Although diabetes after total pancreatectomy and islet autotransplantation (TP-IAT) is one of the biggest concerns for TP-IAT recipients and physicians, reliable prediction of post-TP-IAT glycemic control remains unestablished. This study
Externí odkaz:
https://doaj.org/article/dc6907de7c9949338aa500140d213e8a
Publikováno v:
Journal of the American Statistical Association, 1998 Sep 01. 93(443), 1251-1251.
Externí odkaz:
https://www.jstor.org/stable/2669902
Autor:
Ziegel, Eric R.
Publikováno v:
Technometrics, 1998 Feb 01. 40(1), 84-84.
Externí odkaz:
https://www.jstor.org/stable/1271417
Autor:
Angus Lindsay, Cory W. Baumann, Robyn T. Rebbeck, Samantha L. Yuen, William M. Southern, James S. Hodges, Razvan L. Cornea, David D. Thomas, James M. Ervasti, Dawn A. Lowe
Publikováno v:
Skeletal Muscle, Vol 10, Iss 1, Pp 1-14 (2020)
Abstract Background Dystrophin deficiency sensitizes skeletal muscle of mice to eccentric contraction (ECC)-induced strength loss. ECC protocols distinguish dystrophin-deficient from healthy, wild type muscle, and test the efficacy of therapeutics fo
Externí odkaz:
https://doaj.org/article/9fc4962558974865bb7abc6a1b44cdbc
Autor:
Andrea L. Conroy, Robert O. Opoka, Paul Bangirana, Richard Idro, John M. Ssenkusu, Dibyadyuti Datta, James S. Hodges, Catherine Morgan, Chandy C. John
Publikováno v:
BMC Medicine, Vol 17, Iss 1, Pp 1-12 (2019)
Abstract Background Acute kidney injury (AKI) is a recognized complication of pediatric severe malaria, but its long-term consequences are unknown. Methods Ugandan children with cerebral malaria (CM, n = 260) and severe malaria anemia (SMA, n = 219)
Externí odkaz:
https://doaj.org/article/85fdb00ae591408b82355c30949e8551
Publikováno v:
Journal of Comparative Effectiveness Research. 11:953-967
Purpose: To assess whether the poor prognosis of triple-negative breast cancer (TNBC) necessitates a more aggressive surgical approach. Methods: We examined the association of: breast-conserving surgery (BCS); BCS plus radiotherapy; mastectomy; and m
Publikováno v:
Journal of Statistical Software, Vol 80, Iss 1, Pp 1-25 (2017)
Network meta-analysis is a powerful approach for synthesizing direct and indirect evidence about multiple treatment comparisons from a collection of independent studies. At present, the most widely used method in network meta-analysis is contrast-bas
Externí odkaz:
https://doaj.org/article/aa2f8d9f2c21482bb50286596f196eaf