Hierarchical models provide reliable statistical estimates for data sets from high-throughput experiments where measurements vastly outnumber experimental samples. Interpreting 'omics data often ...
Addresses the construction, interpretation, and application of linear statistical models. Specifically ... This course introduces students to multilevel regression modeling (aka hierarchical models or ...
The basic procedures for modelling purely hierarchical data have been extended to include cross-classifications ... Multilevel time series data can be modelled. Multilevel generalised linear models ...
Model building via linear regression models. Method of least squares, theory and practice. Checking for adequacy of a model, examination of residuals, checking outliers. Practical hand on experience ...
There are two main types of organisational structure used in businesses – hierarchical (or tall) and flat. A flat structure is an organisational structure with only a few layers of management.
The safety-efficiency dilemma describes the problem of maintaining safety during efficient exploration and is a special case of the exploration-exploitation dilemma in the face of potential dangers.
the new synergistic paradigm helps clarify the complex interactions between the hierarchical structure of the brain and its cognitive functions, about which a great deal is still unknown in the field ...