Risk.display {epicalc}R Documentation

Tables for multivariate odds ratio, incidence density etc

Description

Display of various epidemiological modelling results in a medically understandable format

Usage

logistic.display(logistic.model, alpha = 0.05, decimal = 3) 
idr.display(count.model, decimal = 3, alpha = 0.05) 
mlogit.display(multinom.model, decimal = 2, alpha = 0.05) 
ordinal.or.display(ordinal.model, decimal = 3, alpha = 0.05)  

Arguments

logistic.model a model from a logistic regression
alpha significance level
decimal number of decimal places displayed
count.model a model from a Poisson or negative binomial regression
multinom.model a model from multinomial or polytomous regression
ordinal.model a model from an ordinal logistic regression

Details

R provides several epidemiological modelling techniques. The functions above display these results in a format easier for medical people to understand.

Author(s)

Virasakdi Chongsuvivatwong <cvirasak@medicine.psu.ac.th>

See Also

'glm', 'confint'

Examples

model0 <- glm(case ~ induced + spontaneous, family=binomial, data=infert)
summary(model0)
logistic.display(model0)

library(MASS)
library(nnet)

# Ordinal logistic regression
options(contrasts = c("contr.treatment", "contr.poly"))
house.plr <- polr(Sat ~ Infl + Type + Cont, weights = Freq, data = housing)
house.plr
ordinal.or.display(house.plr)

# Polytomous or multinomial logistic regression
house.multinom <- multinom(Sat ~ Infl + Type + Cont, weights = Freq, 
        data = housing)
summary(house.multinom)
mlogit.display(house.multinom, alpha=.01) # with 99 percent confidence limits.

[Package epicalc version 2.4.0.11 Index]