Feng, QianMol, Ben W.Ioannidis, John P.A.Li, Wentao2024-03-142024-03-142024-03-01Feng, Q, Mol, B W, Ioannidis, J P A & Li, W 2024, 'Statistical significance and publication reporting bias in abstracts of reproductive medicine studies', Human reproduction (Oxford, England), vol. 39, no. 3, pp. 548-558. https://doi.org/10.1093/humrep/dead2480268-1161https://hdl.handle.net/2164/23011Funding Information: We thank Dr David Chavalarias from Complex Systems Institute of Paris Ile-de-France for sharing scripts in extracting P-values. B.W.M. is supported by an National Health and Medical Research Council (NHMRC) Investigator grant (GNT1176437); B.W.M. reports consultancy, research grants, and travel support from Merck. W.L. is supported by an NHMRC Investigator Grant (GNT2016729). Q.F. reports receiving a PhD scholarship from Merck. The other author has no conflict of interest to declare. Funding Information: B.W.M. is supported by an National Health and Medical Research Council (NHMRC) Investigator grant (GNT1176437); B.W.M. reports consultancy, research grants, and travel support from Merck. W.L. is supported by an NHMRC Investigator Grant (GNT2016729). Q.F. reports receiving a PhD scholarship from Merck. The other author has no conflict of interest to declare. Publisher Copyright: © 2024 Oxford University Press. All rights reserved.111583669engP-valuespublication biaspublication reporting biasreporting qualitysignificance chasingRG Gynecology and obstetricsReproductive MedicineObstetrics and GynaecologyRGJournal article10.1093/humrep/dead248http://www.scopus.com/inward/record.url?scp=85180012771&partnerID=8YFLogxK393