LSE creators

Number of items: 13.
Article
  • Fanelli, Daniele, Tan, Pedro Batista, Amaral, Olavo B., Neves, Kleber (2025). A metric of knowledge as information compression reflects reproducibility predictions for biomedical experiments. Royal Society Open Science, 12(7). https://doi.org/10.1098/rsos.241446 picture_as_pdf
  • Bartoš, František, Maier, Maximilian, Wagenmakers, Eric Jan, Nippold, Franziska, Doucouliagos, Hristos, Ioannidis, John P.A., Otte, Willem M., Sladekova, Martina, Deresssa, Teshome K. & Bruns, Stephan B. et al (2024). Footprint of publication selection bias on meta-analyses in medicine, environmental sciences, psychology, and economics. Research Synthesis Methods, 15(3), 500 - 511. https://doi.org/10.1002/jrsm.1703 picture_as_pdf
  • Martineau, Samuel, Cristea, Ioana-Alina, Chevance, Astrid, Fanelli, Daniele, Naudet, Florian (2024). Are large prospective trials on antidepressants in mental disorders seeding trials?: a descriptive study of trials registered on ClinicalTrials.gov. BMJ Open, 13(8), e062913. https://doi.org/10.1136/bmjopen-2022-062913 picture_as_pdf
  • Bakker, Caitlin, Boughton, Stephanie, Faggion, Clovis Mariano, Fanelli, Daniele, Kaiser, Kathryn, Schneider, Jodi (2023). Reducing the residue of retractions in evidence synthesis: ways to minimise inappropriate citation and use of retracted data. BMJ Evidence-Based Medicine, 29(2), 121-126. https://doi.org/10.1136/bmjebm-2022-111921 picture_as_pdf
  • Fanelli, Daniele, Wong, Julie, Moher, David (2022). What difference might retractions make? An estimate of the potential epistemic cost of retractions on meta-analyses. Accountability in Research, 29(7), 442 - 459. https://doi.org/10.1080/08989621.2021.1947810 picture_as_pdf
  • Fanelli, Daniele, Schleicher, Matteo, Fang, Ferric C., Casadevall, Arturo, Bik, Elisabeth M. (2022). Do individual and institutional predictors of misconduct vary by country? Results of a matched-control analysis of problematic image duplications. PLOS ONE, 17(3). https://doi.org/10.1371/journal.pone.0255334 picture_as_pdf
  • Fanelli, Daniele (2019). A theory and methodology to quantify knowledge. Royal Society Open Science, 6(4). https://doi.org/10.1098/rsos.181055 picture_as_pdf
  • Fanelli, Daniele (2018). Is science really facing a reproducibility crisis, and do we need it to? Proceedings of the National Academy of Sciences of the United States of America, 115(11), 2628-2631. https://doi.org/10.1073/pnas.1708272114
  • Fanelli, Daniele, Costas, Rodrigo, Fang, Ferric C., Casadevall, Arturo, Bik, Elisabeth M. (2018). Testing hypotheses on risk factors for scientific misconduct via matched-control analysis of papers containing problematic image duplications. Science and Engineering Ethics, https://doi.org/10.1007/s11948-018-0023-7
  • Naudet, Florian, Sakarovitch, Charlotte, Janiaud, Perrine, Cristea, Ioana, Fanelli, Daniele, Moher, David, Ioannidis, John P. A. (2018). Data sharing and reanalysis of randomized controlled trials in leading biomedical journals with a full data sharing policy: survey of studies published in the BMJ and PLOS Medicine. BMJ, 360(k400). https://doi.org/10.1136/bmj.k400
    • Dataset
  • Fanelli, Daniele, Wong, Julie, Moher, David (2022). What difference might retractions make? An estimate of the potential epistemic cost of retractions on meta-analyses. [Dataset]. figshare. https://doi.org/10.6084/m9.figshare.20424148
    • Blog post
  • Fanelli, Daniele (4 February 2022) Are public health policies keeping up with shifting scientific consensus? the case of vitamin D. LSE COVID-19 Blog. picture_as_pdf
  • Fanelli, Daniele (18 December 2020) Probing academic consensus on COVID-19 mitigation are lockdown policies favoured mainly in high-income countries? LSE COVID-19 Blog. picture_as_pdf