New variable selection methods for zero-inflated count data with applications to the substance abuse field

Gelijkaardige items

• Statistical models for longitudinal zero-inflated count data with applications to the substance abuse field
  door: Buu, Anne, et al.
  Gepubliceerd in: (2012)
• A time-varying effect model for examining group differences in trajectories of zero-inflated count outcomes with applications in substance abuse research
  door: Yang, Songshan, et al.
  Gepubliceerd in: (2016)
• Bayesian variable selection for multivariate zero-inflated models: Application to microbiome count data
  door: Lee, Kyu Ha, et al.
  Gepubliceerd in: (2018)
• Two-stage model for time varying effects of zero-inflated count longitudinal covariates with applications in health behaviour research
  door: Yang, Hanyu, et al.
  Gepubliceerd in: (2015)
• Hidden Markov Models for Zero-Inflated Poisson Counts with an Application to Substance Use
  door: DeSantis, Stacia M., et al.
  Gepubliceerd in: (2011)