Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Valentijn M.T. de Jong"'
Autor:
Heather Hufstedler, Nicole Mauer, Edmund Yeboah, Sinclair Carr, Sabahat Rahman, Alexander M. Danzer, Thomas P. A. Debray, Valentijn M.T. de Jong, Harlan Campbell, Paul Gustafson, Lauren Maxwell, Thomas Jaenisch, Ellicott C. Matthay, Till Bärnighausen
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Observational data provide invaluable real-world information in medicine, but certain methodological considerations are required to derive causal estimates. In this systematic review, we evaluated the methodology and reporting quality of ind
Externí odkaz:
https://doaj.org/article/71f2c34582104e5dbd20675f3193dc43
Publikováno v:
Diagnostic and Prognostic Research, Vol 3, Iss 1, Pp 1-13 (2019)
Abstract Over the past few years, evidence synthesis has become essential to investigate and improve the generalizability of medical research findings. This strategy often involves a meta-analysis to formally summarize quantities of interest, such as
Externí odkaz:
https://doaj.org/article/a8ba86ff656841a39dbe30b35d855e66
Publikováno v:
Journal of Clinical Epidemiology. 144:194-197
Autor:
Thomas P. A. Debray, Richard D Riley, Karel G.M. Moons, Valentijn M.T. de Jong, Marinus J.C. Eijkemans
Publikováno v:
Statistics in Medicine
Prediction models often yield inaccurate predictions for new individuals. Large data sets from pooled studies or electronic healthcare records may alleviate this with an increased sample size and variability in sample characteristics. However, existi
Autor:
M. R. Vriens, Arjen J. Witkamp, Mando D. Filipe, Paul J. van Diest, Susanna I.S. Patuleia, Valentijn M.T. de Jong
Publikováno v:
Clinical Breast Cancer. 20:e723-e748
Pathologic nipple discharge (PND) is one of the most common breast-related complaints for referral because of its supposed association with breast cancer. The aim of this network meta-analysis (NMA) was to compare the diagnostic efficacy of ultrasoun
Autor:
Thomas Jaenisch, Thomas P. A. Debray, Sabahat Rahman, Till Bärnighausen, Lauren Maxwell, Harlan Campbell, Paul Gustafson, Ellicott C. Matthay, Heather Hufstedler, Valentijn M.T. de Jong
Publikováno v:
PLoS ONE
PLoS ONE, Vol 16, Iss 4, p e0250778 (2021)
PLoS ONE, Vol 16, Iss 4, p e0250778 (2021)
Introduction Pooling (or combining) and analysing observational, longitudinal data at the individual level facilitates inference through increased sample sizes, allowing for joint estimation of study- and individual-level exposure variables, and bett
Autor:
Valentijn M.T. de Jong
Prediction models are a valuable tool in medical practice, as they can help in diagnosis and prognosis. In diagnosis they can be used to calculate the most likely disease or other health status for a patient. In prognosis they can predict someone’s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e16946572287ab16e552545f83dc35d3
https://doi.org/10.33540/469
https://doi.org/10.33540/469
Autor:
Marinus J.C. Eijkemans, Ben Van Calster, Dirk Timmerman, Maarten van Smeden, Karel G.M. Moons, Ewout W. Steyerberg, Valentijn M.T. de Jong
Publikováno v:
Statistics in Medicine, 38(9), 1601. John Wiley and Sons Ltd
Statistics in Medicine, 38(9), 1601-1619
Statistics in Medicine
Statistics in Medicine, 38(9), 1601-1619
Statistics in Medicine
Multinomial Logistic Regression (MLR) has been advocated for developing clinical prediction models that distinguish between three or more unordered outcomes. We present a full-factorial simulation study to examine the predictive performance of MLR mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f7aa786d6767101634e9aa64f7c0133
https://dspace.library.uu.nl/handle/1874/381168
https://dspace.library.uu.nl/handle/1874/381168
Autor:
Thomas P. A. Debray, Thomas Jaenisch, Harlan Campbell, Lauren Maxwell, Valentijn M.T. de Jong, Paul Gustafson
Publikováno v:
Research Synthesis Methods
Ideally, a meta-analysis will summarize data from several unbiased studies. Here we look into the less than ideal situation in which contributing studies may be compromised by non-differential measurement error in the exposure variable. Specifically,