births.df: Risk factors for low birthweight

In R330: An R package for Stats 330

Description

Data were collected at Baystate Medical Center, Springfield, Mass. during 1986, as part of a study to identify risk factors for low-birthweight babies.

Usage

data(births.df)

Format

A data frame with 189 observations on the following 11 variables:

id

Identificatin code

low

low birthweight (defined as less than 2500g) 0 = No, 1 = Yes

age

Age of mother (years)

lwt

weight of mother at last menstrual period (pounds)

race

Race (1 = white, 2 = black, 3 = other)

smoke

smoking status during pregnancy (0 = No, 1 = Yes)

ptl

History of premature labour (0 = None, 1 = one, 2 = two, etc.

ht

History of hypertension (0 = No, 1 = Yes)

ui

Presence of Uterine Irritability (0 = No, 1 = Yes)

ftv

Number of Physician Visits during the first trimester ( 0 = none, 1 = one, 2 = two, etc.)

bwt

Birth weight (grams) (response)

Source

Hosmer & Lemeshow, Applied Logistic Regression. pp 25-26.

References

Hosmer, D.W. & Lemeshow, S.(2000), Applied Logistic Regression (2nd edition), John Wiley & Sons, New York.

Examples

data(births.df)
births.lm<-lm(bwt~age*race*smoke*ui*ht+lwt*race*smoke*ui*ht,data=births.df)
anova(births.lm)

R330 documentation built on May 2, 2019, 2:12 p.m.