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  1. Symptom clusters in 1330 survivors of 7 cancer types from the PROFILE…

    de Rooij, B., Oerlemans, S., Van Deun, K., Mols, F., De Ligt, K. M., Husson, O., Ezendam, N. P. M., Hoedjes, M., van de Poll-Franse, L., & Schoormans, D. (2021). Symptom clusters in 1330 survivors of 7 cancer types from the PROFILES registry: A network analysis. Cancers.
  2. Model selection techniques for sparse weight-based principal componen…

    de Schipper, N., & Van Deun, K. (2021). Model selection techniques for sparse weight-based principal component analysis. Journal of Chemometrics, 35(2), [e3289].
  3. PCovR2 - A flexible principal covariates regression approach to parsi…

    Gavaladze, S., Vervloet, M., Van Deun, K., Kiers, H. A. L., & Ceulemans, E. (2021). PCovR2: A flexible principal covariates regression approach to parsimoniously handle multiple criterion variables. Behavior Research Methods, 53(4), 1648-1668.
  4. Sparse common and distinctive covariates regression

    Park, S., Ceulemans, E., & Van Deun, K. (2021). Sparse common and distinctive covariates regression. Journal of Chemometrics, 35(2), [e3270].
  5. Revealing subgroups that differ in common and distinctive variation i…

    Yuan, S., De Roover, K., Dufner, M., Denissen, J., & Van Deun, K. (2021). Revealing subgroups that differ in common and distinctive variation in multi-block data: Clusterwise sparse simultaneous component analysis. Social Science Computer Review, 39(5), 802-820.

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