Information Matrix

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Model selection

When fitting a mortality model, analysts are faced with the decision of which risk factors to include or exclude.  One way of doing this is to look for the improvement in an information criterion that balances the fit against the number of parameters.  The bigger the improvement in the information criterion, the more strongly the model with the smaller value is preferred.

Written by: Stephen RichardsTags: Filter information matrix by tag: information criterion, Filter information matrix by tag: AIC, Filter information matrix by tag: relative likelihood