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Selection of ordinally scaled independent variables with applications to international classification of functioning core sets

Author

Listed:
  • Jan Gertheiss
  • Sara Hogger
  • Cornelia Oberhauser
  • Gerhard Tutz

Abstract

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Suggested Citation

  • Jan Gertheiss & Sara Hogger & Cornelia Oberhauser & Gerhard Tutz, 2011. "Selection of ordinally scaled independent variables with applications to international classification of functioning core sets," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 60(3), pages 377-395, May.
    • Handle: RePEc:bla:jorssc:v:60:y:2011:i:3:p:377-395
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    Cited by:

    1. Hess, Wolfgang & Persson, Maria & Rubenbauer, Stephanie & Gertheiss, Jan, 2013. "Using Lasso-Type Penalties to Model Time-Varying Covariate Effects in Panel Data Regressions – A Novel Approach Illustrated by the ‘Death of Distance’ in International Trade," Working Paper Series 961, Research Institute of Industrial Economics.
    2. Faisal Maqbool Zahid & Gerhard Tutz, 2013. "Proportional Odds Models with High‐Dimensional Data Structure," International Statistical Review, International Statistical Institute, vol. 81(3), pages 388-406, December.
    3. Gerhard Tutz & Jan Gertheiss, 2014. "Rating Scales as Predictors—The Old Question of Scale Level and Some Answers," Psychometrika, Springer;The Psychometric Society, vol. 79(3), pages 357-376, July.
    4. Sweeney Elizabeth & Crainiceanu Ciprian & Gertheiss Jan, 2016. "Testing differentially expressed genes in dose-response studies and with ordinal phenotypes," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 15(3), pages 213-235, June.
    5. Reher, Leonie & Runst, Petrik & Thomä, Jörg & Bizer, Kilian, 2024. "Measuring non-R&D drivers of innovation: The case of SMEs in lagging regions," ifh Working Papers 45/2024, Volkswirtschaftliches Institut für Mittelstand und Handwerk an der Universität Göttingen (ifh).

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