The forward search algorithm and confirmatory factor analysis

Event Date: 
Thursday, 20 June, 2013 - 19:00
Lecturer: 
Aleš Toman, Faculty of Mathematics and Physics

The forward search algorithm is a (graphical) method for data exploration and robust parameter estimation. The algorithm identifies those units in the sample that have disproportionately large impact on the subsequent statistical inference.

There are three possible ways to apply the algorithm when we are estimating the confirmatory factor model:

  1. identify the units that are distant from the bulk of the data,
  2. identify the units with disproportionately large impact on covariance matrix estimate,
  3. identify the units with large impact on model parameters.

The structure and the performance of the algorithm will be demonstrated on a simple example.

 

 

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Institute for Biostatistics and Medical Informatics (IBMI), formerly Institute for BioMedical Informatics (so still IBMI) was founded by the Faculty of Medicine as a result of a need for a unit which would perform, or coordinate, tasks related to data analysis and providing information, relevant for research in medicine. The programme of the institute, and its development, have been adjusting thorugh time to changes in financing and technological progress, but the basic aim remain the same: to support research in medicine. This is achieved through the following tasks:

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