Simultane Konfidenzintervalle für nichtparametrische Effekte in faktoriellen Modellen

• Applicants: Professor Dr. Edgar Brunner; Professor Dr. Ludwig Hothorn
• Subject Area: Epidemiology and Medical Biometry/Statistics
• Term: from 2009 to 2013
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 142157543

• Final Report Year: 2014

Final Report Abstract

No abstract available

Publications

• (2010). Testing and Estimation of purely nonparametric effects in repeated measures designs (2010). Computational Statistics & Data Analysis 54, 1895 – 1905
  Konietschke, F., Bathke, A. C., Hothorn, L. A., Brunner, E.
  
• (2012) Assessing group differences in biodiversity by simultaneously testing a user-defined selection of diversity indices. Molecular Ecology Resources 12 1068 – 1078
  Pallmann, P., Schaarschmidt, F., Hothorn, L.A., Fischer, C., Nacke, H., Priesnitz, K.U., Schork, N.J.
  (See online at https://doi.org/10.1111/1755-0998.12004)
• (2012) Model-specific tests on variance heterogeneity for detection of potentially interacting genetic loci. BMC Genetics
  Hothorn, L.A., Libiger, O., Gerhard, D.
  (See online at https://doi.org/10.1186/1471-2156-13-59)
• (2012) The use of historical controls in estimation simultaneous confidence intervals for comparisons against a concurrent control. Computational Statistics and Data Analysis 12 3865 – 3875
  Kitsche, A., Schaarschmidt, F., Hothorn, L.A.
  (See online at https://doi.org/10.1016/j.csda.2012.05.010)
• (2012). A studentized permutation test for the nonparametric Behrens-Fisher problem in paired data. The Electronic Journal of Statistics 6, 1358 – 1372
  Konietschke, F., Pauly, M.
  (See online at https://doi.org/10.1214/12-EJS714)
• (2012). Evaluation of toxicological studies using a nonparametric Shirley-type trend test for comparing several dose levels with a control group. Statistics in Biopharmaceutical Research 4, 14 – 27
  Konietschke, F., Hothorn, L. A.
  (See online at https://doi.org/10.1080/19466315.2011.633861)
• (2012). Nonparametric Evaluation of Quantitative Traits in Population-based Association Studies when the Genetic Model is Unknown, PLoS ONE 7(2): e31242
  Konietschke, F., Libiger, O., Hothorn, L. A.
  (See online at https://doi.org/10.1371/journal.pone.0031242)
• (2012). nparLD: An R Software Package for the Nonparametric Analysis of Longitudinal Data in Factorial Experiments. Journal of Statistical Software 50, 1 – 23
  Noguchi, K., Gel, Y., Brunner, E. , Konietschke, F.
  (See online at https://doi.org/10.18637/jss.v050.i12)
• (2012). Rank-based multiple test procedures and simultaneous confidence intervals. The Electronic Journal of Statistics 6, 737 – 758
  Konietschke, F., Hothorn, L.A., Brunner, E.
  (See online at https://doi.org/10.1214/12-EJS691)
• (2012). Ranking procedures for matched pairs with missing values - Asymptotic theory and a small sample approximation. Computational Statistics & Data Analysis 56, 1090 – 1102
  Konietschke, F., Harrar, S.W., Lange, K., Brunner, E.
  (See online at https://doi.org/10.1016/j.csda.2011.03.022)
• (2013) Simultaneous confidence intervals for multiple comparisons among expected values of log-normal variables. Computational Statistics and Data Analysis 58 265 – 275
  Schaarschmidt, F.
  (See online at https://doi.org/10.1016/j.csda.2012.08.011)
• (2013). Are Multiple Contrast Tests superior to the ANOVA? International Journal of Biostatistics 9, 1 – 11
  Konietschke, F., Bösiger, S., Hothorn, L. A., Brunner, E.
  
• (2013). Comments on the paper “Type I error and test power of different tests for testing interaction effects in factorial experiments” by M. Mendes and S. Yigit (Statistica Neerlandica, 2013, pp. 1-26). Statistica Neerlandica 67, 390 - 396
  Brunner, E., Puri, M. L.
  
• Comment on ‘Type I error and test power of different tests for testing interaction effects in factorial experiments’. Statistica Neerlandica Vol 67 Issue 4, November 2013, Pages 400-402
  Konietschke, F., Gao, X., Bathke, A. C.
  (See online at https://doi.org/10.1111/stan.12014)
• Simultaneous confidence intervals on multivariate non-inferiority. Statistics in Medicine, Vol 32 Issue 10, Special Issue: Papers from the Joint EMA, ISBS and DR‐IBS International Symposium on Biopharmaceutical Statistics: Bridging Drug Development from Research to Marketing, 10 May 2013, Pages 1720-1729
  Hasler, M. Hothorn, L.A.
  (See online at https://doi.org/10.1002/sim.5633)
• (2014) Testing for qualitative interaction using ratios in treatment differences. Statistics in Medicine, Vol 33 Issue 9, 30 April 2014, Pages 1477-1489
  Kitsche, A., Hothorn, L.A.
  (See online at https://doi.org/10.1002/sim.6048)
• Bootstrapping and Permuting paired t-test type statistics. Statistics and Computing, May 2014, Volume 24, Issue 3, pp 283–296
  Konietschke, F., Pauly, M.
  (See online at https://doi.org/10.1007/s11222-012-9370-4)
• On Multiple Contrast Tests and Simultaneous Confidence Intervals in High-Dimensional Repeated Measures Designs. In: Perspectives on High-dimensional Data Analysis: Methodologies and Applications, herausgegeben von S. Ejaz Ahmed. American Mathematical Society, 2014, S. 109-mind. 123 (wohl Abdruck aus: Contemporary Mathematics, Vol 622, 2014)
  Konietschke, F., Gel, Y. R., Brunner, E.
  (See online at https://dx.doi.org/10.1090/conm/622/12431)
• Asymptotic Permutation Tests for General Factorial Designs. Journal of the Royal Statistical Society - Series B, Volume77, Issue2, March 2015, Pages 461-473. First 2014
  Pauly, M., Brunner, E., Konietschke, F.
  (See online at https://doi.org/10.1111/rssb.12073)
• nparcomp : An R Software Package for Nonparametric Multiple Comparisons and Simultaneous Confidence Intervals. Journal of Statistical Software, 2015; 64(9), PDF: 17 S.
  Konietschke, F., Placzek, M., Schaarschmidt, F., Hothorn, L. A.
  (See online at https://dx.doi.org/10.18637/jss.v064.i09)