Zobrazeno 1 - 10
of 3 997
pro vyhledávání: '"Berchuck, A"'
The generalized linear mixed model (GLMM) is a popular statistical approach for handling correlated data, and is used extensively in applications areas where big data is common, including biomedical data settings. The focus of this paper is scalable
Externí odkaz:
http://arxiv.org/abs/2403.03007
In this paper we compare and contrast the behavior of the posterior predictive distribution to the risk of the maximum a posteriori estimator for the random features regression model in the overparameterized regime. We will focus on the variance of t
Externí odkaz:
http://arxiv.org/abs/2306.03783
Autor:
Skates, Steven J, Greene, Mark H., Buys, Saundra S, Mai, Phuong L, Brown, Powel, Piedmonte, Marion, Rodriguez, Gustavo, Schorge, John O, Sherman, Mark, Daly, Mary B, Rutherford, Thomas, Brewster, Wendy R, O'Malley, David M, Partridge, Edward, Boggess, John, Drescher, Charles W, Isaacs, Claudine, Berchuck, Andrew, Domchek, Susan, Davidson, Susan A, Edwards, Robert, Elg, Steven A, Wakeley, Katie, Phillips, Kelly-Anne, Armstrong, Debroah, Horowitz, Ira, Fabian Carol J, Walker, Joan, Sluss, Patrick M, Welch, William, Minasian, Lori, Horick, Nora K, Kasten, Carol H, Nayfield, Susan, Alberts, David, Finkelstein, Dianne M, Lu, Karen H
Purpose: Women at familial/genetic ovarian cancer risk often undergo screening despite unproven efficacy. Research suggests each woman has her own CA125 baseline; significant increases above this level may identify cancers earlier than standard 6-12
Externí odkaz:
http://hdl.handle.net/10150/625973
http://arizona.openrepository.com/arizona/handle/10150/625973
http://arizona.openrepository.com/arizona/handle/10150/625973
Autor:
Dhanya Ramachandran, Jonathan P. Tyrer, Stefan Kommoss, Anna DeFazio, Marjorie J. Riggan, AOCS Group, Penelope M. Webb, Peter A. Fasching, Diether Lambrechts, María J. García, Cristina Rodríguez-Antona, Marc T. Goodman, Francesmary Modugno, Kirsten B. Moysich, Beth Y. Karlan, Jenny Lester, Susanne K. Kjaer, Allan Jensen, Estrid Høgdall, Ellen L. Goode, William A. Cliby, Amanika Kumar, Chen Wang, Julie M. Cunningham, Stacey J. Winham, Alvaro N. Monteiro, Joellen M. Schildkraut, Daniel W. Cramer, Kathryn L. Terry, Linda Titus, Line Bjorge, Liv Cecilie Vestrheim Thomsen, OPAL Study Group, Tanja Pejovic, Claus K. Høgdall, Iain A. McNeish, Taymaa May, David G. Huntsman, Jacobus Pfisterer, Ulrich Canzler, Tjoung-Won Park-Simon, Willibald Schröder, Antje Belau, Lars Hanker, Philipp Harter, Jalid Sehouli, Rainer Kimmig, Nikolaus de Gregorio, Barbara Schmalfeldt, Klaus Baumann, Felix Hilpert, Alexander Burges, Boris Winterhoff, Peter Schürmann, Lisa-Marie Speith, Peter Hillemanns, Andrew Berchuck, Sharon E. Johnatty, Susan J. Ramus, Georgia Chenevix-Trench, Paul D. P. Pharoah, Thilo Dörk, Florian Heitz
Publikováno v:
npj Genomic Medicine, Vol 9, Iss 1, Pp 1-12 (2024)
Abstract Survival from ovarian cancer depends on the resection status after primary surgery. We performed genome-wide association analyses for resection status of 7705 ovarian cancer patients, including 4954 with high-grade serous carcinoma (HGSOC),
Externí odkaz:
https://doaj.org/article/ac0253f401c44385bb41f701da028a0c
Autor:
Fariha Rahman, Oyomoare L. Osazuwa-Peters, Clare Meernik, Kevin C. Ward, Margaret G. Kuliszewski, Bin Huang, Andrew Berchuck, Thomas Tucker, Maria Pisu, Margaret Liang, Tomi F. Akinyemiju
Publikováno v:
SSM - Mental Health, Vol 6, Iss , Pp 100323- (2024)
Background: Ovarian cancer (OC) patients have an increased risk for a mental health illness (MHI) after their cancer diagnosis, but limited research exists on whether this risk differs by race/ethnicity. Hence, we used SEER-Medicare data to evaluate
Externí odkaz:
https://doaj.org/article/1801ebc648fd4e649394e1d804cdf9f4
Autor:
Paramdeep Kaur, Andrew Berchuck, Anne Chase, Bronwyn Grout, Cindy McKinnon Deurloo, Leigh C. Pearce, Malcolm C. Pike, Jean Richardson, Kathryn L. Terry, Penelope M. Webb, Gillian E. Hanley
Publikováno v:
Neoplasia: An International Journal for Oncology Research, Vol 56, Iss , Pp 101026- (2024)
Objectives: There is an active debate regarding whether metformin use improves survival in people with ovarian cancer. We examined this issue using methods designed to avoid immortal time bias—as bias that occurs when participants in a study cannot
Externí odkaz:
https://doaj.org/article/56898df8c7c14cdfa3a027e331e70fea
Autor:
Talal El Zarif, Karl Semaan, Marc Eid, Ji-Heui Seo, Simon Garinet, Matthew P. Davidsohn, Pranshu Sahgal, Brad Fortunato, John Canniff, Amin H. Nassar, Sarah Abou Alaiwi, Ziad Bakouny, Gitanjali Lakshminarayanan, Hunter Savignano, Kevin Lyons, Sayed Matar, Atef Ali, Eddy Saad, Renee Maria Saliby, Paulo Cordeiro, Ziwei Zhang, Nourhan El Ahmar, Yasmin Nabil Laimon, Chris Labaki, Valisha Shah, Dory Freeman, Jillian O’Toole, Gwo-Shu Mary Lee, Justin Hwang, Mark Pomerantz, Sabina Signoretti, Eliezer M. Van Allen, Wanling Xie, Jacob E. Berchuck, Srinivas R. Viswanathan, David A. Braun, Toni K. Choueiri, Matthew L. Freedman, Sylvan C. Baca
Publikováno v:
Cell Reports, Vol 43, Iss 6, Pp 114350- (2024)
Summary: Renal cell carcinoma with sarcomatoid differentiation (sRCC) is associated with poor survival and a heightened response to immune checkpoint inhibitors (ICIs). Two major barriers to improving outcomes for sRCC are the limited understanding o
Externí odkaz:
https://doaj.org/article/a9e18e74ab10487c9c8418746dfe9c2a
Autor:
Swarup S. Swaminathan, MD, Samuel I. Berchuck, PhD, J. Sunil Rao, PhD, Felipe A. Medeiros, MD, PhD
Publikováno v:
Ophthalmology Science, Vol 4, Iss 3, Pp 100454- (2024)
Purpose: To compare how linear mixed models (LMMs) using Gaussian, Student t, and log-gamma (LG) random effect distributions estimate rates of structural loss in a glaucomatous population using OCT and to compare model performance to ordinary least s
Externí odkaz:
https://doaj.org/article/4457d6d9321a4acf812e551724893467
Autor:
Orme, Jacob J., Taza, Fadi, De Sarkar, Navonil, Tewari, Alok K., Arsalan Naqvi, Syed, Riaz, Irbaz B., Childs, Daniel S., Omar, Noha, Adra, Nabil, Ashkar, Ryan, Cheng, Heather H., Schweizer, Michael T., Sokolova, Alexandra O., Agarwal, Neeraj, Barata, Pedro, Sartor, Oliver, Bastos, Diogo, Smaletz, Oren, Berchuck, Jacob E., McClure, Heather, Taplin, Mary-Ellen, Aggarwal, Rahul, Sternberg, Cora N., Vlachostergios, Panagiotis J., Alva, Ajjai S., Mehra, Niven, Nelson, Peter S., Hwang, Justin, Dehm, Scott M., Shi, Qian, Fleischmann, Zoe, Sokol, Ethan S., Elliott, Andrew, Huang, Haojie, Bryce, Alan, Marshall, Catherine H., Antonarakis, Emmanuel S.
Publikováno v:
In European Urology Oncology August 2024 7(4):877-887
Autor:
Zhiqing Huang, Olivia Byrd, Sarah Tan, Katrina Hu, Bailey Knight, Gaomong Lo, Lila Taylor, Yuan Wu, Andrew Berchuck, Susan K. Murphy
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-19 (2023)
Abstract The lethality of epithelial ovarian cancer (OC) is largely due to a high rate of recurrence and development of chemoresistance, which requires synergy between cancer cells and the tumor microenvironment (TME) and is thought to involve cancer
Externí odkaz:
https://doaj.org/article/6044931ad68746a6991a29e1a4531305