Prof. Dr. Thomas Kneib

 
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  • 2022 Journal Article | 
    ​ ​Bayesian discrete conditional transformation models​
    Carlan, M. & Kneib, T. ​ (2022) 
    Statistical Modelling, art. 1471082X2211141​.​ DOI: https://doi.org/10.1177/1471082X221114177 
    Details  DOI 
  • 2018 Journal Article | 
    ​ ​Vulnerability to poverty revisited: Flexible modeling and better predictive performance​
    Hohberg, M. ; Landau, K.; Kneib, T. ; Klasen, S.   & Zucchini, W. ​ (2018) 
    The Journal of Economic Inequality, pp. 1​-16​.​ DOI: https://doi.org/10.1007/s10888-017-9374-6 
    Details  DOI 
  • 2017 Journal Article | 
    ​ ​Updated Nomogram Incorporating Percentage of Positive Cores to Predict Probability of Lymph Node Invasion in Prostate Cancer Patients Undergoing Sentinel Lymph Node Dissection​
    Winter, A.; Kneib, T. ; Wasylow, C.; Reinhardt, L.; Henke, R.-P.; Engels, S. & Gerullis, H. et al.​ (2017) 
    Journal of Cancer8(14) pp. 2692​-2698​.​ DOI: https://doi.org/10.7150/jca.20409 
    Details  DOI  PMID  PMC 
  • 2016 Journal Article | 
    ​ ​Impact of chronic hepatitis C on mortality in cirrhotic patients admitted to intensive-care unit​
    Álvaro-Meca, A.; Jiménez-Sousa, M. A.; Boyer, A.; Medrano, J.; Reulen, H.; Kneib, T.   & Resino, S.​ (2016) 
    BMC Infectious Diseases16(1) art. 122​.​ DOI: https://doi.org/10.1186/s12879-016-1448-8 
    Details  DOI 
  • 2015 Journal Article | 
    ​ ​Applying Binary Structured Additive Regression (STAR) for Predicting Wildfire in Galicia, Spain​
    Ríos-Pena, L.; Cadarso-Suárez, C.; Kneib, T.   & Pérez, M.​ (2015) 
    Procedia Environmental Sciences27 pp. 123​-126​.​ DOI: https://doi.org/10.1016/j.proenv.2015.07.121 
    Details  DOI 
  • 2014 Journal Article | 
    ​ ​Spline-based procedures for dose-finding studies with active control​
    Helms, H.-J.; Benda, N.; Zinserling, J.; Kneib, T.   & Friede, T. ​ (2014) 
    Statistics in Medicine34(2) pp. 232​-248​.​ DOI: https://doi.org/10.1002/sim.6320 
    Details  DOI  PMID  PMC 
  • 2013 Journal Article | 
    ​ ​Beyond mean regression​
    Kneib, T. ​ (2013) 
    Statistical Modelling13(4) pp. 275​-303​.​ DOI: https://doi.org/10.1177/1471082X13494159 
    Details  DOI  WoS 
  • 2013 Journal Article | 
    ​ ​Bayesian semiparametric additive quantile regression​
    Yue, Y. R.; Lang, S.; Flexeder, C.; Waldmann, E.   & Kneib, T. ​ (2013) 
    Statistical Modelling13(3) pp. 223​-252​.​ DOI: https://doi.org/10.1177/1471082x13480650 
    Details  DOI 
  • 2013 Journal Article | 
    ​ ​A Novel Kernel for Correcting Size Bias in the Logistic Kernel Machine Test with an Application to Rheumatoid Arthritis​
    Freytag, S.; Bickeböller, H. ; Amos, C. I.; Kneib, T.   & Schlather, M.​ (2013) 
    Human Heredity74(2) pp. 97​-108​.​ DOI: https://doi.org/10.1159/000347188 
    Details  DOI  PMID  PMC 
  • 2011 Journal Article | 
    ​ ​On confidence intervals for semiparametric expectile regression​
    Sobotka, F.; Kauermann, G.; Schulze Waltrup, L. & Kneib, T. ​ (2011) 
    Statistics and Computing23(2) pp. 135​-148​.​ DOI: https://doi.org/10.1007/s11222-011-9297-1 
    Details  DOI 

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