(4) Participants’ Related publications

David Hand (mini-bio)

• Hand, D. J. (2022). Trustworthiness of statistical inference. Journal of the Royal Statistical Society. Series A. Statistics in Society, 185(1), 329–347.

• Hand, D. J. (1994). Deconstructing statistical questions. Journal of the Royal Statistical Society. Series A. Statistics in Society, 157(3), 317–356.

Christian Hennig (mini-bio)

• Hennig, C., 2020. Frequentism-as-model. https://arxiv.org/abs/2007.05748.

• Shamsudheen, M.I. and Hennig, C., 2019. Should we test the model assumptions before running a model-based test? https://arxiv.org/abs/1908.02218.

Daniël Lakens (mini-bio)

• Lakens, D. (2019). The value of preregistration for psychological science: A conceptual analysis. Japanese Psychological Review, 62(3), 221–230. https://doi.org/10.24602/sjpr.62.3_221

• Claesen, A., Lakens, D., Vanpaemel, W., & van Dongen, N. N. N. (2022, September 2). Severity and Crises in Science: Are We Getting It Right When We’re Right and Wrong When We’re Wrong?. https://doi.org/10.31234/osf.io/ekhc8

Deborah Mayo (mini-bio)

• Mayo, D. G. & Hand, D. (2022). Statistical significance and its critics: practicing damaging science, or damaging scientific practice?. Synthese 200, 220 (2022). https://doi.org/10.1007/s11229-022-03692-0

• Mayo, D. G. (2021). The Statistics Wars and Intellectual Conflicts of Interest (Editorial). Conservation Biology.  

• Mayo, D. G. (2018) Statistical Inference as Severe Testing: How to Get Beyond the Statistics Wars. CUP. (SIST proofs).

Jon Williamson (mini-bio)

• Williamson, J. (2019). Establishing causal claims in medicine. International Studies in the Philosophy of Science, 32(1), 33–61. https://doi.org/10.1080/02698595.2019.1630927