Author:
Geraci Marco,Farcomeni Alessio
Reference42 articles.
1. Bartolucci, F., Farcomeni, A.: A discrete time event-history approach to informative drop-out in mixed latent Markov models with covariates. Biometrics 71(1), 80–89 (2015)
2. Booth, J.G., Hobert, J.P.: Maximizing generalized linear mixed model likelihoods with an automated Monte Carlo EM algorithm. Journal of the Royal Statistical Society B 61(1), 265–285 (1999)
3. Creemers, A., Hens, N., Aerts, M., Molenberghs, G., Verbeke, G., Kenward, M.G.: A sensitivity analysis for shared-parameter models for incomplete longitudinal outcomes. Biometrical Journal 52(1), 111–125 (2010)
4. de Brevern, A., Hazout, S., Malpertuy, A.: Influence of microarrays experiments missing values on the stability of gene groups by hierarchical clustering. BMC Bioinformatics 5(1), 114 (2004)
5. de Souto, M.C., Jaskowiak, P.A., Costa, I.G.: Impact of missing data imputation methods on gene expression clustering and classification. BMC Bioinformatics 16(1), 64 (2015)
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献