How can statistics support colleagues working in medical research?

ÍøÂç²ÊƱAPPÏÂÔØ_°Ä¿Í²ÊƱÍø-¹Ù·½ÓÎÏ·, Biostatistics programme covers research into the development and application of statistical methods in medicine including public health, clinical trials and epidemiology. We enjoy strong links with Medicine and Life Sciences at the University of ÍøÂç²ÊƱAPPÏÂÔØ_°Ä¿Í²ÊƱÍø-¹Ù·½ÓÎÏ·,. Many research projects are prompted by problems arising in medical research and the pharmaceutical industry. The biostatistics group is also the statistical partner in the Growth Hormone 2004 Project which aims to fight growth hormone misuse in sport .

Research Highlights:

• B?hning, D., Maruotti, A., Rocchetti, I., & Holling, H. (2020). Estimating the undetected infections in the Covid-19 outbreak by harnessing capture-recapture methods . International Journal of Infectious Diseases , 97, 197-201. https://doi.org/10.1016/j.ijid.2020.06.009
• B?hning, D., & Ogden, H. (2020). General flation models for count data . Metrika . https://doi.org/10.1007/s00184-020-00786-y
• Liu, W., Bretz, F., & Cortina-Borja, M. (2020). Reference range: which statistical intervals to use? Statistical Methods in Medical Research, 1-12 . https://doi.org/10.1177/0962280220961793
• B?hning, D., & Sangnawakij, P. (2020). The identity of two meta-analytic likelihoods and the ignorability of double-zero studies . Biostatistics .
• B?hning, D., Alf¨°, M., & Rocchetti, I. (2020). Upper bound estimators of the population size based on ordinal models for capture-recapture experiments . Biometrics . https://doi.org/10.1111/biom.13265
• Liu, W., Bretz, F., Srimaneekarn, N., Peng, J., & Hayter, A. (2019). Confidence sets for statistical classification . Stats , 2(3), 332-346. https://doi.org/10.3390/stats2030024
• Liu, W., Bretz, F., & Hayter, A. (2019). Confidence sets for statistical classification (II): Exact confidence sets . Stats , 2(4), 439-446. https://doi.org/10.3390/stats2040030
• Dankmar B?hning and Peter van der Heijden (2019). The identity of the zero-truncated, one-inflated likelihood and the zero-one-truncated likelihood for general count densities with an application to drink-driving in Britain . Annals of Applied Statistics 13 , 1198-1211.