Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Boglárka Weltz"'
Publikováno v:
Methodology, Vol 18, Iss 4, Pp 278-297 (2022)
When evaluating the publication performance of a scientist one has to consider not only the difference in publication norms in different scientific fields, but also the length of the academic career of the investigated researcher. Here, our goal was
Externí odkaz:
https://doaj.org/article/b521446d514a4156a559dee6a647fa80
Publikováno v:
PLoS ONE, Vol 17, Iss 9, p e0274662 (2022)
[This corrects the article DOI: 10.1371/journal.pone.0245824.].
Externí odkaz:
https://doaj.org/article/669898d023814a74918beac23621a8e4
MultipleTesting.com: A tool for life science researchers for multiple hypothesis testing correction.
Publikováno v:
PLoS ONE, Vol 16, Iss 6, p e0245824 (2021)
Scientists from nearly all disciplines face the problem of simultaneously evaluating many hypotheses. Conducting multiple comparisons increases the likelihood that a non-negligible proportion of associations will be false positives, clouding real dis
Externí odkaz:
https://doaj.org/article/263f61f414544e018ceb151307966ae4
Autor:
Boglárka Weltz, Balázs Győrffy, Lajos Pusztai, Volkmar Müller, Thomas Karn, Zsofia Sztupinszki
Publikováno v:
International Journal of Cancer. Journal International du Cancer
The molecular diversity of breast cancer makes it impossible to identify prognostic markers that are applicable to all breast cancers. To overcome limitations of previous multigene prognostic classifiers, we propose a new dynamic predictor: instead o
Publikováno v:
PLoS ONE, Vol 18, Iss 1, p e0280480 (2023)
IntroductionComparing the scientific output of different researchers applying for a grant is a tedious work. In Hungary, to help reviewers to rapidly rank the scientific productivity of a researcher, a grant decision support tool was established and
Externí odkaz:
https://doaj.org/article/18a1c2f370b74083ae7e54a8713a51f1
Autor:
Lajos Pusztai, Zsofia Sztupinszki, Boglárka Weltz, Volkmar Müller, Thomas Karn, Balazs Gyorffy
Publikováno v:
Journal of Clinical Oncology. 32:1065-1065
1065 Background: To exceed prediction accuracy of previous multigene prognostic classifiers, we propose a new dynamic predictor. Our classifier does not use a single universal training cohort and a...