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hcc (version 0.54)

birthwt: Risk Factors Associated with Low Infant Birth Weight

Description

The birthwt data frame has 189 rows and 10 columns. The data were collected at Baystate Medical Center, Springfield, Mass during 1986.

Usage

data(birthwt)

Arguments

Format

A data frame with 189 observations on the following 10 variables.
low
indicator of birth weight less than 2.5 kg.
age
mother's age in years.
lwt
mother's weight in pounds at last menstrual period.
race
mother's race (1 = white, 2 = black, 3 = other).
smoke
smoking status during pregnancy.
ptl
number of previous premature labours.
ht
history of hypertension.
ui
presence of uterine irritability.
ftv
number of physician visits during the first trimester.
bwt
birth weight in grams.

Source

Hosmer, D.W. and Lemeshow, S. (1989) Applied Logistic Regression. New York: Wiley

References

Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.

Examples

Run this code
data(birthwt)
attach(birthwt)
race <- factor(race, labels=c("white","black","other"))
ptd <- factor(ptl >0)
ftv <- factor(ftv)
levels(ftv)[-(1:2)] <- "2+"
bwt <- data.frame(low=factor(low), age, lwt, race, smoke=(smoke>0), ptd, ht=(ht>0), ui=(ui>0), ftv)
birthwt.glm <- glm(low ~ ., family=binomial, data=bwt )
res<-resid(birthwt.glm)
hctest(age, res)

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