Pewsey, A., Neuhäuser, M. &Ruxton, G. (2013): Circular statistics in R. Oxford University Press, Oxford.
Neuhäuser, M. (2012): Nonparametric statistical tests: A computational approach. Chapman & Hall/CRC, Boca Raton.
Neuhäuser, M. (2012): Biostatistik. In: Botzenhart, C. et al. (Hrsg.): Gesellschaftliche Relevanz von Wissenschaft und Forschung: Ein interdisziplinärer Diskurs. Ferdinand Schöningh, Paderborn, S. 236-246.
Neuhäuser, M. (2010): Computer-intensive und nichtparametrische statistische Tests. Oldenbourg-Verlag, München.
Jöckel, K.-H., Hirche, H. & Neuhäuser, M. (2009): Hinweise zur Studienplanung, Biometrie und klinischen Epidemiologie. In: Rübben, H. (Hrsg.): Uroonkologie. Springer-Verlag, Heidelberg, 5. Auflage, S. 17-34. NEW: 6. Auflage, 2014, S. 117-136.
Ausgewählte Artikel in Zeitschriften
Neuhäuser, M. (2015): Combining the t test and Wilcoxon’s rank sum test. Journal of Applied Statistics (accepted for publication).
Puth, M.T., Neuhäuser, M. & Ruxton, G.D. (2015): On the variety of methods for calculating confidence intervals by bootstrapping. Journal of Animal Ecology 84, 892-897.
Neuhäuser, M., Welz, A. & Ruxton, G.D. (2015): Statistical tests for the comparison of two samples: The general alternative. Communications in Statistics - Simulation and Computation (published online Feb. 2015).
Eder, H., Fiedler, W. & Neuhäuser, M. (2015): Evaluation of aerodynamic parameters from infrared laser tracking of free-gliding white storks. Journal of Ornithology156, 667–677.
Michel, C., Woods, A.T., Neuhäuser, M., Landgraf, A. & Spence, C. (2015): Rotating plates: Online study demonstrates the importance or orientation in the plating of food. Food Quality and Preference44, 194-202.
Gent, S., Kleinbongard, P., Dammann, P., Neuhäuser, M. & Heusch, G. (2015): Heart rate reduction and longevity in mice. Basic Research in Cardiology 110:2.
Leuchs, A.-K., Zinserling, J., Schlosser-Weber, G., Berres, M., Neuhäuser, M. & Benda, N. (2014): Estimation of the treatment effect in the presence of non-compliance and missing data. Statistics in Medicine 33, 193-208.
Ruxton GD & Neuhäuser M (2013): Improving the reporting of p-values generated by randomization methods. Methods in Ecology and Evolution4, 1033-1036.
Thielmann, M., Kottenberg, E., Kleinbongard, P., Wendt, D., Gedik, N., Pasa, S., Price, V., Tsagakis, K., Neuhäuser, M. et al. (2013): Cardioprotective and prognostic effects of remote ischaemic preconditioning in patients undergoing coronary artery bypass surgery: a single-centre randomised, double-blind, controlled trial. Lancet 382, 597-604.
Leuchs, A.-K. & Neuhäuser, M. (2013): A modified combination test for the analysis of a clinical trial when a protocol amendment changed the inclusion criteria. Journal of Statistical Computation and Simulation 83, 823-834.
Ruxton, G.D. & Neuhäuser, M. (2013): Review of alternative approaches to calculation of a confidence interval for the odds ratio of a 2x2 contingency table. Methods in Ecology and Evolution 4, 9-13.
Neuhäuser, A., Mischler, M., Ruxton, G.D. & Neuhäuser, M. (2013): Gründe für von der Fraktionsdisziplin abweichendes Abstimmungsverhalten bei Bundestagsabgeordneten. AStA Wirtschafts- und Sozialstatistisches Archiv 7, 91–99.
Neuhäuser, M., Leuchs, A.-K. & Ball, D. (2011): A new location-scale test based on a combination of the ideas of Levene and Lepage. Biometrical Journal 53, 525-534.
Neuhäuser, M. (2010): A nonparametric two-sample comparison for skewed data with unequal variances. Journal of Clinical Epidemiology 63, 691-693.
Neuhäuser, M., Kotzmann, J., Walier, M. & Poulin, R. (2010): The comparison of mean crowding between two groups. Journal of Parasitology 96, 477-481.
Ruxton, G.D. & Neuhäuser, M. (2010): Good practice in testing for an association in contingency tables. Behavioral Ecology and Sociobiology 64, 1505-1513.
Neuhäuser, M. & Ruxton, G.D. (2009): Round your numbers in rank tests: exact and asymptotic inference and ties. Behavioral Ecology and Sociobiology 64, 297-303.
Neuhäuser, M. & Senske, R. (2009): The analysis of multicenter clinical trials when there is heterogeneity between centers. Journal of Statistical Computation and Simulation79, 1381-1387.
Johnson, L.S., Thompson, C.F., Sakaluk, S.K., Neuhäuser, M. et al. (2009): Extra-pair young in house wren broods are more likely to be male than female. Proceedings of the Royal Society London B 276, 2285-2289.
Lösch, C. & Neuhäuser, M. (2008): The statistical analysis of a clinical trial when a protocol amendment changed the inclusion criteria. BMC Medical Research Methodology 8, 16.
Neuhäuser, M. & Krackow, S. (2007): Adaptive-filtering of trisomy 21: Risk of Down syndrome depends on family size and age of previous child. Naturwissenschaften 94, 117-121.
Neuhäuser, M. (2006): How to deal with multiple endpoints in clinical trials. Fundamental and Clinical Pharmacology 20, 515-523.
