The Hans van Houwelingen Award Biometry Award is granted every two years to a first author of either Dutch nationality or working in a Dutch institution. The publication that is granted the award has contributed significantly to the development or application of biometry. Further conditions have been set down in the Biometry Award Regulations.
The call for nominations for the Hans van Houwelingen Biometry Award 2022 is now open. This time, the award will cover papers published in 2020, 2021 and 2022. Nominations – including a PDF of the article – should be sent before January 16, 2023, to the BMS-ANed board: bmsaned@gmail.com. Only one ‘first author’ paper can be submitted per person. Further details on the regulation are provided in the Biometry Award Regulations. The winning paper will be chosen by an international jury installed by the board of BMS-ANed.
Previous winners of the award are given in the table below:
| Year | Author | Publication |
| 2020 | Pariya Behrouzi | Behrouzi, P., & Wit, E.C. (2019). Detecting epistatic selection with partially observed genotype data by using copula graphical models. Journal of the Royal Statistical Society Series C: Applied Statistics, 68(1), 141-160 |
| 2018 | Rianne Jacobs | Jacobs, R., Lesaffre, E., Teunis, P.F.M., Höhle, M., & van de Kassteele, J. (2017). Identifying the source of food-borne disease outbreaks: An application of Bayesian variable selection. Statistical Methods in Medical Research |
| 2016 | Hein Putter | Putter, H., & van Houwelingen, H.C. (2015). Dynamic frailty models based on compound birth-death processes. Biostatistics, 16, 550-564 |
| 2014 | Fentaw Abegaz | Abegaz F., & Wit E. (2013). Sparse time series chain graphical models for reconstructing genetic networks. Biostatistics, 14, 586-599 |
| 2012 | Jelle Goeman | Goeman J.J., & Solari A. (2011). Multiple Testing for Exploratory Research. Statistical Science, 26, 584-597 |
| 2010 | Judith Lok | Lok, J. (2008). Statistical modeling of causal effects in continuous time. Annals of Statistics, 36, 1464–1507 |
| 2008 | Martin Boer | Boer, M.P., Wright, D., Feng, L., Podlich, D.W., Luo, L., Cooper, M., & van Eeuwijk, F.A. (2007). A mixed-model quantitative trait loci (QTL) analysis for multiple-environment trial data using environmental covariables for QTL-by-environment interactions, with an example in maize. Genetics, 177, 1801-1813 |
| 2006 | Rachid El Galta | El Galta, R., van Duijn, C.M., van Houwelingen, & J.C., Houwing-Duistermaat, J.J. (2005). Score statistic to test for genetic correlation for proband-family design. Annals of Human Genetics, 69, 373-381 |
| 2004 | Nico Nagelkerke | Nagelkerke, N.J., Boshuizen, H.C., de Melker, H.E., Schellekens, J.F., Peeters, M.F., & Conyn-van Spaendonck, M. (2003). Estimating the incidence of subclinical infections with Legionella Pneumonia using data augmentation: analysis of an outbreak in The Netherlands. Statistics in Medicine, 22, 3713-24. |
| 2002 | Hans Jansen | Jansen, J., de Jong, A.G., & van Ooijen, J.W. (2001). Constructing dense genetic linkage maps. Theoretical and Applied Genetics, 102, 1113-1122. |
| 2000 | Ritsert Jansen | Jansen, R.C., Johnson, D.L., & van Arendonk, J.A.M. (1998). A mixture model approach to the mapping of quantitative trait loci in complex populations with an application to multiple cattle families. Genetics, 148, 391-399. |
| 1998 | Huub Straatman | Straatman, H., Peer, P.G.M., & Verbeek, A.L.M. (1997). Estimating lead time and sensitivity in a screening program without estimating the incidence in the screened group. Biometrics, 53, 217-229. |
| 1996 | Fred van Eeuwijk | Van Eeuwijk, F.A. (1995). Multiplicative interaction in generalized linear models. Biometrics, 51, 1017-1032. |
| 1994 | Pierre Verweij | Verweij, P.J.M., & van Houwelingen, H.C. (1993). Cross-validation in survival analysis. Statistics in Medicine, 12, 2305-2314. |
| 1992 | Saskia le Cessie | Le Cessie, S., & van Houwelingen, J.C. (1991). A goodness of fit test for binary regression models, based on smoothing methods. Biometrics, 47, 1267-1282. |