birthwt: Risk Factors Associated with Low Infant Birth Weight

In hcc: Hidden correlation check

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)

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

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)

Example output

[1] 1.066839e-08

hcc documentation built on May 2, 2019, 2:08 a.m.