The conference will over several topics. Some of the topics, not excluding others, are

  • Agricultural and environmental statistics
  • Bayesian methods
  • Big data analytics
  • Bioinformatics
  • Biological networks
  • Casual inference
  • Categorical data analysis and discrete models
  • Clinical trials
  • Computational methods
  • Computer intensive methods and software development
  • Diagnostic and screening tests
  • Genomics and proteomics
  • Graphical models
  • High-dimensional data analysis
  • Imaging and Signal data
  • Longitudinal modelling and mixed-effects models
  • Machine Learning and Artificial Intelligence
  • Measurement error
  • Methods for data integration
  • Microarrays and Omics data
  • Missing and incomplete data
  • Mixture models
  • Multiple testing
  • Multistate models
  • Multivariate statistics
  • Nonparametric methods
  • Quantile regression
  • Reproducibility
  • Risk analysis and risk management
  • Risk prediction models
  • Sampling methods in biostatistics
  • Small area estimation
  • Spatio and spatio-temporal modeling
  • Statistical learning
  • Statistical methods in genomics
  • Survival analysis
  • Time series analysis
  • Variable selection
  • Visualization methods