Prof. Dr. Thomas Kneib

 
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  • 2014 Journal Article
    ​ ​Sentinel lymph node dissection in more than 1200 prostate cancer cases: Rate and prediction of lymph node involvement depending on preoperative tumor characteristics​
    Winter, A.; Kneib, T. ; Henke, R.-P. & Wawroschek, F.​ (2014) 
    International Journal of Urology21(1) pp. 58​-63​.​ DOI: https://doi.org/10.1111/iju.12184 
    Details  DOI  PMID  PMC 
  • 2012 Journal Article
    ​ ​Additive mixed models with Dirichlet process mixture and P-spline priors​
    Heinzl, F.; Fahrmeir, L. & Kneib, T. ​ (2012) 
    AStA Advances in Statistical Analysis96(1) pp. 47​-68​.​ DOI: https://doi.org/10.1007/s10182-011-0161-6 
    Details  DOI 
  • 2011 Journal Article
    ​ ​Estimating habitat suitability and potential population size for brown bears in the Eastern Alps​
    Güthlin, D.; Knauer, F.; Kneib, T. ; Küchenhoff, H.; Kaczensky, P.; Rauer, G. & Jonozovič, M. et al.​ (2011) 
    Biological Conservation144(5) pp. 1733​-1741​.​ DOI: https://doi.org/10.1016/j.biocon.2011.03.010 
    Details  DOI 
  • 2010 Journal Article
    ​ ​Short-term influence of elevation of plasma homocysteine levels on cognitive function in young healthy adults​
    Alexopoulos, P.; Lehrl, S.; Richter-Schmidinger, T.; Kreusslein, A.; Hauenstein, T.; Bayerl, F. & Jung, P. et al.​ (2010) 
    The Journal of Nutrition, Health & Aging14(4) pp. 283​-287​.​ DOI: https://doi.org/10.1007/s12603-010-0062-5 
    Details  DOI 
  • 2009 Journal Article
    ​ ​Nosocomial Infection, Length of Stay, and Time-Dependent Bias​
    Beyersmann, J.; Kneib, T. ; Schumacher, M. & Gastmeier, P.​ (2009) 
    Infection Control & Hospital Epidemiology30(3) pp. 273​-276​.​ DOI: https://doi.org/10.1086/596020 
    Details  DOI 
  • 2009 Journal Article
    ​ ​A new strategy to analyze possible association structures between dynamic nocturnal hormone activities and sleep alterations in humans​
    Kalus, S.; Kneib, T. ; Steiger, A.; Holsboer, F. & Yassouridis, A.​ (2009) 
    AJP: Regulatory, Integrative and Comparative Physiology296(4) pp. R1216​-R1227​.​ DOI: https://doi.org/10.1152/ajpregu.90530.2008 
    Details  DOI  PMID  PMC 
  • 2008 Journal Article
    ​ ​Saproxylic beetle assemblages related to silvicultural management intensity and stand structures in a beech forest in Southern Germany​
    Müller, J.; Bußler, H. & Kneib, T. ​ (2008) 
    Journal of Insect Conservation12(2) pp. 107​-124​.​ DOI: https://doi.org/10.1007/s10841-006-9065-2 
    Details  DOI 
  • 2008 Journal Article
    ​ ​Propriety of posteriors in structured additive regression models: Theory and empirical evidence​
    Fahrmeir, L. & Kneib, T. ​ (2008) 
    Journal of Statistical Planning and Inference139(3) pp. 843​-859​.​ DOI: https://doi.org/10.1016/j.jspi.2008.05.036 
    Details  DOI 
  • 2008 Journal Article | 
    ​ ​Conditional Variable Importance for Random Forests​
    Strobl, C.; Boulesteix, A.-L.; Kneib, T. ; Augustin, T. & Zeileis, A.​ (2008) 
    BMC Bioinformatics9(1) art. 307​.​ DOI: https://doi.org/10.1186/1471-2105-9-307 
    Details  DOI 
  • 2008 Journal Article
    ​ ​Analysis of the individual and aggregate genetic contributions of previously identified serine peptidase inhibitor Kazal type 5 (SPINK5), kallikrein-related peptidase 7 (KLK7), and filaggrin (FLG) polymorphisms to eczema risk​
    Weidinger, S.; Baurecht, H.; Wagenpfeil, S.; Henderson, J.; Novak, N.; Sandilands, A. & Chen, H. et al.​ (2008) 
    Journal of Allergy and Clinical Immunology122(3) pp. 560​-568​.​ DOI: https://doi.org/10.1016/j.jaci.2008.05.050 
    Details  DOI  PMID  PMC 
  • 2007 Report
    ​ ​BayesX - Bayesian inference in structured additive regression​
    Kneib, T. ; Belitz, C.; Brezger, A.& Lang, S.​ (2007)
    Details 
  • 2006 Thesis | Bachelor Thesis
    ​ ​Mixed model based inference in structured additive regression​
    Kneib, T. ​ (2006)
    Dr. Hut-Verlag.
    Details 
  • 2003 Thesis | Diploma Thesis
    ​ ​Bayes-Inferenz in generalisierten geoadditiven gemischten Modellen​
    Kneib, T. ​ (2003)
    Ludwig-Maximilians-Universität München, Institut für Statistik. 
    München​
    Details 

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