Zobrazeno 1 - 10
of 113
pro vyhledávání: '"Schifano, Elizabeth D"'
Publikováno v:
In Econometrics and Statistics January 2024 29:224-237
The Cox proportional hazard model is one of the most popular tools in analyzing time-to-event data in public health studies. When outcomes observed in clinical data from different regions yield a varying pattern correlated with location, it is often
Externí odkaz:
http://arxiv.org/abs/1908.09071
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
The Cox model, which remains as the first choice in analyzing time-to-event data even for large datasets, relies on the proportional hazards (PH) assumption. When survival data arrive sequentially in chunks, a fast and minimally storage intensive app
Externí odkaz:
http://arxiv.org/abs/1809.01291
Autor:
Braun, Tosca D., Schifano, Elizabeth D., Finkelstein-Fox, Lucy, Park, Crystal L., Conboy, Lisa A., Deshpande, Rina, Riley, Kristen E., Lazar, Sara W.
Publikováno v:
In Complementary Therapies in Clinical Practice November 2021 45
Publikováno v:
Technometrics 58 (2016) 393-403
We present statistical methods for big data arising from online analytical processing, where large amounts of data arrive in streams and require fast analysis without storage/access to the historical data. In particular, we develop iterative estimati
Externí odkaz:
http://arxiv.org/abs/1505.06354
Publikováno v:
Journal of Data Science. Jan2023, Vol. 21 Issue 1, p158-172. 15p.
Publikováno v:
In Computational Statistics and Data Analysis September 2020 149
Publikováno v:
Electronic Journal of Statistics, Volume 4 (2010), pages 1258-1299
In this paper, we propose a general class of algorithms for optimizing an extensive variety of nonsmoothly penalized objective functions that satisfy certain regularity conditions. The proposed framework utilizes the majorization-minimization (MM) al
Externí odkaz:
http://arxiv.org/abs/1001.4776
Publikováno v:
American Journal of Undergraduate Research; Mar2024, Vol. 20 Issue 4, p3-16, 14p