Zobrazeno 1 - 10
of 167
pro vyhledávání: '"Schifano, Elizabeth"'
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
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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., Unick, Jessica L., Abrantes, Ana M., Dalrymple, Kristy, Conboy, Lisa A., Schifano, Elizabeth, Park, Crystal L., Lazar, Sara W.
Publikováno v:
In Appetite 1 February 2022 169
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:
Statistics and Its Interface 9 (2016) 399-414
Big data are data on a massive scale in terms of volume, intensity, and complexity that exceed the capacity of standard software tools. They present opportunities as well as challenges to statisticians. The role of computational statisticians in scie
Externí odkaz:
http://arxiv.org/abs/1502.07989
Publikováno v:
Connect to full text. Access to electronic version of some theses may be restricted..
Thesis (M.S.)--Cornell University, August, 2007.
Includes bibliographical references.
Includes bibliographical references.
Externí odkaz:
http://hdl.handle.net/1813/7631
Publikováno v:
In Computational Statistics and Data Analysis September 2020 149