1. Sparse relative risk regression models

   Wit, E. C., Augugliaro, L., Pazira, H., González, J. & Abegaz, F., Apr-2020, In : Biostatistics. 21, 2, p. e131–e147

   Research output: Contribution to journal › Article › Academic › peer-review

2. Bayesian modelling of Dupuytren disease by using Gaussian copula graphical models

   Mohammadi, A., Abegaz, F., van den Heuvel, E. & Wit, E. C., Apr-2017, In : Journal of the Royal Statistical Society. Series C: Applied Statistics. 66, 3, p. 629-645 17 p.

   Research output: Contribution to journal › Article › Academic › peer-review

3. An approximate marginal logistic distribution for the analysis of longitudinal ordinal data

   Nooraee, N., Abegaz, F., Ormel, J., Wit, E. & van den Heuvel, E. R., Mar-2016, In : Biometrics. 72, 1, p. 253-261 9 p.

   Research output: Contribution to journal › Article › Academic › peer-review

4. Copula Gaussian graphical models with penalized ascent Monte Carlo EM algorithm

   Abegaz, F. & Wit, E., Nov-2015, In : Statistica Neerlandica. 69, 4, p. 419-441 23 p.

   Research output: Contribution to journal › Article › Academic › peer-review

5. An alternative parameterization of Bayesian logistic hierarchical models for mixed treatment comparisons

   Pechlivanoglou, P., Abegaz, F., Postma, M. J. & Wit, E., 7-May-2015, In : Pharmaceutical Statistics. 14, 4, p. 322-331 10 p.

   Research output: Contribution to journal › Article › Academic › peer-review

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