Zobrazeno 1 - 10
of 417
pro vyhledávání: '"Mark J, van der Laan"'
Autor:
Zachary Butzin-Dozier, Yunwen Ji, Sarang Deshpande, Eric Hurwitz, A. Jerrod Anzalone, Jeremy Coyle, Junming Shi, Andrew Mertens, Mark J. van der Laan, John M. Colford, Rena C. Patel, Alan E. Hubbard, the National COVID Cohort Collaborative (N3C) Consortium
Publikováno v:
BMC Medicine, Vol 22, Iss 1, Pp 1-14 (2024)
Abstract Background Long COVID, also known as post-acute sequelae of COVID-19 (PASC), is a poorly understood condition with symptoms across a range of biological domains that often have debilitating consequences. Some have recently suggested that lin
Externí odkaz:
https://doaj.org/article/1969af9d330a45e98fa675bf9ca85285
Autor:
Zachary Butzin-Dozier, Yunwen Ji, Haodong Li, Jeremy Coyle, Junming Shi, Rachael V Phillips, Andrew N Mertens, Romain Pirracchio, Mark J van der Laan, Rena C Patel, John M Colford, Alan E Hubbard
Publikováno v:
JMIR Public Health and Surveillance, Vol 10, p e53322 (2024)
BackgroundPostacute sequelae of COVID-19 (PASC), also known as long COVID, is a broad grouping of a range of long-term symptoms following acute COVID-19. These symptoms can occur across a range of biological systems, leading to challenges in determin
Externí odkaz:
https://doaj.org/article/54e3e207a3e34b1aa772b40f500dee76
Autor:
David Chen, Maya L. Petersen, Helene Charlotte Rytgaard, Randi Grøn, Theis Lange, Søren Rasmussen, Richard E. Pratley, Steven P. Marso, Kajsa Kvist, John Buse, Mark J. van der Laan
Publikováno v:
Statistics in Biopharmaceutical Research. :1-27
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ff7d9e0a598200f09b7d49906e15fe3
https://doi.org/10.1080/19466315.2023.2173644
https://doi.org/10.1080/19466315.2023.2173644
Publikováno v:
Statistics in Biopharmaceutical Research. :1-15
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::004954700e089fd709a4159bcbca8fa9
https://doi.org/10.1080/19466315.2023.2182356
https://doi.org/10.1080/19466315.2023.2182356
Autor:
Jeremy R. Coyle, Nima S. Hejazi, Ivana Malenica, Rachael V. Phillips, Benjamin F. Arnold, Andrew Mertens, Jade Benjamin‐Chung, Weixin Cai, Sonali Dayal, John M. Colford, Alan E. Hubbard, Mark J. van der Laan
Publikováno v:
Wiley StatsRef: Statistics Reference Online. :1-20
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bca13372df2c4cbad80966a84c98bcf4
https://doi.org/10.1002/9781118445112.stat08414
https://doi.org/10.1002/9781118445112.stat08414
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 44:10236-10243
Using cross validation to select the best model from a library is standard practice in machine learning. Similarly, meta learning is a widely used technique where models previously developed are combined (mainly linearly) with the expectation of impr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55a65029bb8f7a31a9c37aeb91dac0a9
https://doi.org/10.1109/tpami.2021.3131976
https://doi.org/10.1109/tpami.2021.3131976
Publikováno v:
Journal of Statistical Software, Vol 81, Iss 1, Pp 1-47 (2017)
The simcausal R package is a tool for specification and simulation of complex longitudinal data structures that are based on non-parametric structural equation models. The package aims to provide a flexible tool for simplifying the conduct of transpa
Externí odkaz:
https://doaj.org/article/f01162da53c94a0a8267b371095a081c
Publikováno v:
Journal of Statistical Software, Vol 81, Iss 1, Pp 1-21 (2017)
In recent years, targeted minimum loss-based estimation methodology has been used to develop estimators of parameters in longitudinal data structures (Gruber and van der Laan 2012; Petersen, Schwab, Gruber, Blaser, Schomaker, and van der Laan 2014; S
Externí odkaz:
https://doaj.org/article/bf9bd3ecc0064eb89a87a0df23f4ecf3
Autor:
Lina M. Montoya, Mark J. van der Laan, Alexander R. Luedtke, Jennifer L. Skeem, Jeremy R. Coyle, Maya L. Petersen
Publikováno v:
The international journal of biostatistics, vol 19, iss 1
Int J Biostat
Int J Biostat
The optimal dynamic treatment rule (ODTR) framework offers an approach for understanding which kinds of patients respond best to specific treatments – in other words, treatment effect heterogeneity. Recently, there has been a proliferation of metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ad1df6748bb00281adfdd08c77018e6
https://escholarship.org/uc/item/27b8c3qq
https://escholarship.org/uc/item/27b8c3qq
Publikováno v:
American Journal of Epidemiology. 191:1640-1651
Inverse probability weighting (IPW) and targeted maximum likelihood estimation (TMLE) are methodologies that can adjust for confounding and selection bias and are often used for causal inference. Both estimators rely on the positivity assumption that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc4391755bcf04fb9b3c56cf496e3859
https://doi.org/10.1093/aje/kwac087
https://doi.org/10.1093/aje/kwac087