Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Mark van der Laan"'
Publikováno v:
BMC Medical Research Methodology, Vol 23, Iss 1, Pp 1-8 (2023)
Abstract Background The Targeted Learning roadmap provides a systematic guide for generating and evaluating real-world evidence (RWE). From a regulatory perspective, RWE arises from diverse sources such as randomized controlled trials that make use o
Externí odkaz:
https://doaj.org/article/59390656a7ac4a85af63bc9dbdfd596a
Autor:
Lauren E. Dang, Edwin Fong, Jens Magelund Tarp, Kim Katrine Bjerring Clemmensen, Henrik Ravn, Kajsa Kvist, John B. Buse, Mark van der Laan, Maya Petersen
Publikováno v:
Journal of Clinical and Translational Science, Vol 7 (2023)
Abstract Introduction: Increasing interest in real-world evidence has fueled the development of study designs incorporating real-world data (RWD). Using the Causal Roadmap, we specify three designs to evaluate the difference in risk of major adverse
Externí odkaz:
https://doaj.org/article/064b65a77f6f41fc9bd8faca2850c2d2
Autor:
Lauren E. Dang, Susan Gruber, Hana Lee, Issa J. Dahabreh, Elizabeth A. Stuart, Brian D. Williamson, Richard Wyss, Iván Díaz, Debashis Ghosh, Emre Kıcıman, Demissie Alemayehu, Katherine L. Hoffman, Carla Y. Vossen, Raymond A. Huml, Henrik Ravn, Kajsa Kvist, Richard Pratley, Mei-Chiung Shih, Gene Pennello, David Martin, Salina P. Waddy, Charles E. Barr, Mouna Akacha, John B. Buse, Mark van der Laan, Maya Petersen
Publikováno v:
Journal of Clinical and Translational Science, Vol 7 (2023)
Increasing emphasis on the use of real-world evidence (RWE) to support clinical policy and regulatory decision-making has led to a proliferation of guidance, advice, and frameworks from regulatory agencies, academia, professional societies, and indus
Externí odkaz:
https://doaj.org/article/1b066ab2c2c342e3b214a06e4b384ce1
Publikováno v:
PLoS ONE, Vol 12, Iss 4, p e0175383 (2017)
There are several methods for building prediction models. The wealth of currently available modeling techniques usually forces the researcher to judge, a priori, what will likely be the best method. Super learning (SL) is a methodology that facilitat
Externí odkaz:
https://doaj.org/article/892b5af68e664432b533324f0a52b18d
Publikováno v:
PLoS ONE, Vol 4, Iss 9, p e7196 (2009)
BACKGROUND:We hypothesized that the percent adherence to antiretroviral therapy necessary to maintain HIV suppression would decrease with longer duration of viral suppression. METHODOLOGY:Eligible participants were identified from the REACH cohort of
Externí odkaz:
https://doaj.org/article/bbdee141b44448fc92672adce0d7c785
Autor:
Martin Ho, Susan Gruber, Yixin Fang, Douglas E. Faris, Pallavi Mishra-Kalyani, David Benkeser, Mark van der Laan
Publikováno v:
Statistics in Biopharmaceutical Research. :1-14
Publikováno v:
Statistics in Biopharmaceutical Research. :1-8
The Targeted Learning estimation roadmap provides a rigorous framework for developing a statistical analysis plan (SAP) for synthesizing evidence from randomized controlled trials and real world data. Learning from these data necessitates acknowledgi
Publikováno v:
Real-World Evidence in Medical Product Development ISBN: 9783031263279
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e420c158a161b801fedaad95c2eab256
https://doi.org/10.1007/978-3-031-26328-6_8
https://doi.org/10.1007/978-3-031-26328-6_8
Autor:
Nicolas Savy, Erica EM Moodie, Isabelle Drouet, Antoine Chambaz, Bruno Falissard, Michael R. Kosorok, Elizabeth F. Krakow, Deborah G. Mayo, Stephen Senn, Mark Van der Laan
Publikováno v:
International Journal of Biostatistics
SMAC 2021 was a webconference organized in June 2021. The aim of this conference was to bring together data scientists, (bio)statisticians, philosophers, and any person interested in the questions of causality and Bayesian statistics, ranging from te
Biclustering can reveal functional patterns in common biological data such as gene expression. Biclusters are ordered submatrices of a larger matrix that represent coherent data patterns. A critical requirement for biclusters is high coherence across
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bda32dcd090b1a3d575c254172f0322c
https://doi.org/10.1101/2022.08.26.505372
https://doi.org/10.1101/2022.08.26.505372