nordpred.object: Nordpred-object with fit of power5 and poisson Age-...

Description Components Note for S-plus Author(s) References See Also

Description

nordpred uses the power5 and poisson Age-Period-Cohort (APC) models to calculate prediction of cancer incidence and mortality This class of objects is returned by the nordpred.estimate class of functions to represent a fit of power5 and poisson Age-Period-Cohort models for prediction of cancer incidence. Objects of this class have methods print.nordpred, summary.nordpred and plot.nordpred.

Components

predictions

A data.frame with forecasted number of cases

pyr

A data.frame with observed and forecasted person years

nopred

Numer of period predicted

noperiod

Number of periods used in estimate

gofpvalue

P-value for goodness of fit

recent

Indicator for project of avarage trend or use the slope for the last ten years? If recdent = FALSE, avarage trend for the whole observation period have been used, and if recent = TRUE the slope from the last ten years have been used

pvaluerecent

P-value for use of recent trend based on a significance test for departure from linear trend

cuttrend

Degree of trend cut in predictions

startusage

Youngest age group which uses regression model as basis for predicted rates

startestage

Youngest age group which have been included in the regression model. Predictions for age groups below this limit it based on average rates from the last 10 years.

glm

Fitted glm-object

The object will also contain the following (see lm): formula, terms, assign and call.

Note for S-plus

Powerlink is made via a special modification in S-PLUS. This works fine for the point estimates, but the variance estimates found via the glm-objects are wrong. For variance estimates, we would rather recommend using R.

Author(s)

Harald Fekjaer and Bjorn Moller (Cancer Registry of Norway)

References

See Also

Other nordpred: is.nordpred.estimate, nordpred.estimate; is.nordpred, nordpred; nordpred.estimate.object; nordpred.getpred; nordpred.prediction; plot.nordpred; print.nordpred.estimate; print.nordpred; summary.nordpred


haraldwf/nordpred documentation built on May 17, 2019, 2:41 p.m.