dc.date.accessioned | 2021-12-14T07:46:55Z | |
dc.date.available | 2021-12-14T07:46:55Z | |
dc.date.created | 2021-09-28T11:35:16Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Moss, Jonas De Bin, Riccardo . Modelling publication bias and p-hacking. Biometrics. 2021 | |
dc.identifier.uri | http://hdl.handle.net/10852/89529 | |
dc.description.abstract | Publication bias and p-hacking are two well-known phenomena that strongly affect the scientific literature and cause severe problems in meta-analyses. Due to these phenomena, the assumptions of meta-analyses are seriously violated and the results of the studies cannot be trusted. While publication bias is very often captured well by the weighting function selection model, p-hacking is much harder to model and no definitive solution has been found yet. In this paper, we advocate the selection model approach to model publication bias and propose a mixture model for p-hacking. We derive some properties for these models, and we compare them formally and through simulations. Finally, two real data examples are used to show how the models work in practice. | |
dc.language | EN | |
dc.title | Modelling publication bias and p-hacking | |
dc.type | Journal article | |
dc.creator.author | Moss, Jonas | |
dc.creator.author | De Bin, Riccardo | |
cristin.unitcode | 185,15,13,25 | |
cristin.unitname | Statistikk og Data Science | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 2 | |
dc.identifier.cristin | 1939703 | |
dc.identifier.bibliographiccitation | info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Biometrics&rft.volume=&rft.spage=&rft.date=2021 | |
dc.identifier.jtitle | Biometrics | |
dc.identifier.doi | https://doi.org/10.1111/biom.13560 | |
dc.identifier.urn | URN:NBN:no-92131 | |
dc.type.document | Tidsskriftartikkel | |
dc.type.peerreviewed | Peer reviewed | |
dc.source.issn | 0006-341X | |
dc.identifier.fulltext | Fulltext https://www.duo.uio.no/bitstream/handle/10852/89529/1/MossDebin_2021_Biometrics.pdf | |
dc.type.version | PublishedVersion | |