summary.nordpred: Makes a summary of a nordpred object

In haraldwf/nordpred: Prediction of cancer incidence (as used in the Nordpred project)

Description

summary.nordpred uses a nordpred object (see nordpred.object) to summarize the information

Usage

## S3 method for class 'nordpred'
summary(object, printpred = TRUE, printcall = FALSE,
  digits = 1, ...)

Arguments

object	An object of class nordpred (see nordpred.object)
printpred	Indicates whether to print the observed and predicted number of cases
printcall	Indicates whether to print the function call
digits	Specifies the number of digits in the tabulation
...	ignored

Value

object of class nordpred (see nordpred.object).

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

• A website for nordpred is available at: http://www.kreftregisteret.no/software/nordpred/

• Background for the methods can be found in: Moller B., Fekjaer H., Hakulinen T., Sigvaldason H, Storm H. H., Talback M. and Haldorsen T 'Prediction of cancer incidence in the Nordic countries: Empirical comparison of different approaches' Statistics in Medicine 2003; 22:2751-2766

• An application of the function, using all the default settings, can be found in: Moller B, Fekjaer H, Hakulinen T, Tryggvadottir L, Storm HH, Talback M, Haldorsen T. Prediction of cancer incidence in the Nordic countries up to the year 2020. Eur J Cancer Prev Suppl 2002; 11: S1-S96

See Also

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

Examples

# data (Colon cancer for Norwegian males)
indata

# Create dataset with observed and predicted population
inpop <- cbind(inpop1, inpop2)

# Fit model & predict new incidence:
res <- nordpred(indata, inpop, startestage = 5, startuseage = 6, cuttrend = c(0,.25,.5,.75,.75))
res2 <- nordpred(indata, inpop, startestage = 5, startuseage = 6,
     cuttrend = c(0, .25, .5, .75, .75), linkfunc = 'poisson')

# Print / get results:
print(res)
nordpred.getpred(res)
summary(res, printpred = FALSE)

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