Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Manuela Ott"'
Publikováno v:
Statistics and Public Policy, Pp 1-12 (2022)
Funding agencies rely on peer review and expert panels to select the research deserving funding. Peer review has limitations, including bias against risky proposals or interdisciplinary research. The inter-rater reliability between reviewers and pane
Externí odkaz:
https://doaj.org/article/26b0e17f474a4092b5f732912992d514
Autor:
Rachel Heyard, Manuela Ott
The Swiss research landscape suffers from a chronic underrepresentation of women. This can also be seen in the share of women applying for funding at the SNSF. But how has this share evolved over time? And have women been less successful in raising f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::b0e65f0f8bccb88467b1c401dd95dd53
https://zenodo.org/record/5584144
https://zenodo.org/record/5584144
Publikováno v:
Research synthesis methods. 13(3)
It is now widely accepted that the standard inferential toolkit used by the scientific research community-null-hypothesis significance testing (NHST)-is not fit for purpose. Yet despite the threat posed to the scientific enterprise, there is no agree
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87c38114255e4ca5719c04ee2298e146
https://pubmed.ncbi.nlm.nih.gov/34889058
https://pubmed.ncbi.nlm.nih.gov/34889058
Publikováno v:
Statistics in Medicine
Meta‐analysis provides important insights for evidence‐based medicine by synthesizing evidence from multiple studies which address the same research question. Within the Bayesian framework, meta‐analysis is frequently expressed by a Bayesian no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::265b460ddd7506c342cf62001cb930ba
https://doi.org/10.5167/uzh-211359
https://doi.org/10.5167/uzh-211359
Funding agencies rely on peer review and expert panels to select the research deserving funding. Peer review has limitations, including bias against risky proposals or interdisciplinary research. The inter-rater reliability between reviewers and pane
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f2dabe3fda20f2a20c82aa78e68d54b
http://arxiv.org/abs/2102.09958
http://arxiv.org/abs/2102.09958
Autor:
Leonhard Held, Manuela Ott
Publikováno v:
International Statistical Review. 87:285-305
p‐Values are commonly transformed to lower bounds on Bayes factors, so‐called minimum Bayes factors. For the linear model, a sample‐size adjusted minimum Bayes factor over the class of g‐priors on the regression coefficients has recently been
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a5d1705bf46eba3b4cb8fc925e25be0
https://doi.org/10.1111/insr.12307
https://doi.org/10.1111/insr.12307
Autor:
Manuela Ott, Leonhard Held
The p-value quantifies the discrepancy between the data and a null hypothesis of interest, usually the assumption of no difference or no effect. A Bayesian approach allows the calibration of p-values by transforming them to direct measures of the evi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f953c81927e3be38b4aa7803f1e4bfa7
Measurement error (ME) in explanatory variables is a common problem in regression and survival analysis, as it may cause bias in the estimated parameters. It is shown how the integrated nested Laplace approximations (INLA) method can handle classical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcd1daccb769bbfb2700156f2505c1a2
https://www.zora.uzh.ch/id/eprint/145306/
https://www.zora.uzh.ch/id/eprint/145306/
Autor:
Leonhard Held, Manuela Ott
Minimum Bayes factors are commonly used to transform two-sided p-values to lower bounds on the posterior probability of the null hypothesis. Several proposals exist in the literature, but none of them depends on the sample size. However, the evidence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::097b3069e144dacdf01d9d6defd0fa09
Publikováno v:
NBER Working Papers; Jul2024, Issue 32620-32746, Preceding p1-47, 48p