givitiStatCdf

The argument of the CDF. Must be a scalar value.

The scalar integer representing the degree of the polynomial
at the end of the forward selection.

A character string specifying if the model has been fit on
the same dataset under evaluation (<code>internal</code>) or if the model has
been developed on an external sample (<code>external</code>).

devel

A numeric scalar between 0 and 1 representing the
significance level adopted in the forward selection.

thres


<code>givitiStatCdf</code> returns the cumulative density function of the
calibration statistic under the null hypothesis.


Functions to assess the calibration of logistic regression models with the GiViTI (Gruppo Italiano per la Valutazione degli interventi in Terapia Intensiva, Italian Group for the Evaluation of the Interventions in Intensive Care Units - see <http://www.giviti.marionegri.it/>) approach. The approach consists in a graphical tool, namely the GiViTI calibration belt, and in the associated statistical test. These tools can be used both to evaluate the internal calibration (i.e. the goodness of fit) and to assess the validity of an externally developed model.

givitiStatCdf: CDF of the Calibration Statistic Under the Null Hypothesis

Description

Usage

Arguments

Value

See Also

Examples