Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Marloes H. Maathuis"'
Publikováno v:
Swiss Journal of Economics and Statistics, Vol 160, Iss 1, Pp 1-20 (2024)
Abstract During several weeks in the second half of the year 2020, the cantons of Switzerland could choose to adopt the government-determined facial-mask policy, corresponding to mandatory facial-mask wearing on public transport, or a strict facial-m
Externí odkaz:
https://doaj.org/article/d482999464014f50873538710e699091
Autor:
Jérémie Scire, Jana S. Huisman, Ana Grosu, Daniel C. Angst, Adrian Lison, Jinzhou Li, Marloes H. Maathuis, Sebastian Bonhoeffer, Tanja Stadler
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-26 (2023)
Abstract Background Accurate estimation of the effective reproductive number ( $$R_e$$ R e ) of epidemic outbreaks is of central relevance to public health policy and decision making. We present estimateR, an R package for the estimation of the repro
Externí odkaz:
https://doaj.org/article/97797c267d1848fea21cba797e28b44f
Autor:
Sofia K. Mettler, Jewel Park, Orhun Özbek, Linus K. Mettler, Po-Han Ho, Hye Chang Rhim, Marloes H. Maathuis
Publikováno v:
International Journal of Infectious Diseases, Vol 108, Iss , Pp 309-319 (2021)
Background: While the role of contact tracing in the containment of the COVID-19 epidemic remains important until vaccines are widely available, literature on objectively measurable indicators for the effectiveness of contact tracing is scarce. We su
Externí odkaz:
https://doaj.org/article/e721cc7f4ac94b27ba000bfe174b9a9a
Publikováno v:
International Journal of Infectious Diseases, Vol 99, Iss , Pp 346-351 (2020)
Background: The clinical onset serial interval is often used as a proxy for the transmission interval of an infectious disease. For SARS-CoV-2/COVID-19, data on clinical onset serial intervals is limited, since symptom onset dates are not routinely r
Externí odkaz:
https://doaj.org/article/b6ca1fcf2b124746a662ae0b8e413052
Autor:
Holger Fröhlich, Rudi Balling, Niko Beerenwinkel, Oliver Kohlbacher, Santosh Kumar, Thomas Lengauer, Marloes H. Maathuis, Yves Moreau, Susan A. Murphy, Teresa M. Przytycka, Michael Rebhan, Hannes Röst, Andreas Schuppert, Matthias Schwab, Rainer Spang, Daniel Stekhoven, Jimeng Sun, Andreas Weber, Daniel Ziemek, Blaz Zupan
Publikováno v:
BMC Medicine, Vol 16, Iss 1, Pp 1-15 (2018)
Abstract Background Personalized, precision, P4, or stratified medicine is understood as a medical approach in which patients are stratified based on their disease subtype, risk, prognosis, or treatment response using specialized diagnostic tests. Th
Externí odkaz:
https://doaj.org/article/55faf984462542e699767e229ee03c8e
Publikováno v:
Journal of Statistical Software, Vol 47, Iss 11 (2012)
The pcalg package for R can be used for the following two purposes: Causal structure learning and estimation of causal effects from observational data. In this document, we give a brief overview of the methodology, and demonstrate the package’s fun
Externí odkaz:
https://doaj.org/article/dc9f6f0f06f4490fa52ac4375ba60e0c
Autor:
Jana S Huisman, Jérémie Scire, Daniel C Angst, Jinzhou Li, Richard A Neher, Marloes H Maathuis, Sebastian Bonhoeffer, Tanja Stadler
Publikováno v:
eLife, Vol 11 (2022)
The effective reproductive number Re is a key indicator of the growth of an epidemic. Since the start of the SARS-CoV-2 pandemic, many methods and online dashboards have sprung up to monitor this number through time. However, these methods are not al
Externí odkaz:
https://doaj.org/article/031d845967484a4ca1076aaa672acda9
Publikováno v:
Henckel, L, Perković, E & Maathuis, M H 2022, ' Graphical criteria for efficient total effect estimation via adjustment in causal linear models ', Journal of the Royal Statistical Society. Series B: Statistical Methodology, vol. 84, no. 2, pp. 579-599 . https://doi.org/10.1111/rssb.12451
Journal of the Royal Statistical Society. Series B, Statistical Methodology, 84 (2)
Journal of the Royal Statistical Society. Series B, Statistical Methodology, 84 (2)
Covariate adjustment is a commonly used method for total causal effect estimation. In recent years, graphical criteria have been developed to identify all valid adjustment sets, that is, all covariate sets that can be used for this purpose. Different
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37887dea55642d6fb64d83294b541505
https://doi.org/10.1111/rssb.12451
https://doi.org/10.1111/rssb.12451
Autor:
Marloes H. Maathuis, Jinzhou Li
Publikováno v:
Journal of the Royal Statistical Society Series B: Statistical Methodology. 83:534-558
We propose a new method to learn the structure of a Gaussian graphical model with finite sample false discovery rate control. Our method builds on the knockoff framework of Barber and Candès for linear models. We extend their approach to the graphic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a25a03c84a7cd6a6bc808c8e5e661474
https://doi.org/10.1111/rssb.12430
https://doi.org/10.1111/rssb.12430
