Risk Factors Associated with Low Infant Birth Weight
The Birthwt data contains 189 observations, 16 predictors, and
an outcome, birthweight, available both as a continuous measure and a
binary indicator for low birth weight. The data were
collected at Baystate Medical Center, Springfield, Mass during 1986.
This data frame is a reparameterization of the birthwt data
frame from the MASS package.
data(Birthwt)
The Birthwt object is a list containing four elements:
bwt:Birth weight in kilograms
low:Indicator of birth weight less than 2.5kg
X:Matrix of predictors
group:Vector describing how the columns of X are
grouped
The matrix X contains the following columns:
age1,age2,age3:Orthogonal polynomials of
first, second, and third degree representing mother's age in
years
lwt1,lwt2,lwt3:Orthogonal polynomials of
first, second, and third degree representing mother's weight in
pounds at last menstrual period
white,black:Indicator functions for mother's race;
"other" is reference group
smoke:Smoking status during pregnancy
ptl1,ptl2m:Indicator functions for one or for two or
more previous premature labors, respectively. No previous
premature labors is the reference category.
ht:History of hypertension
ui:Presence of uterine irritability
ftv1,ftv2,ftv3m:Indicator functions for
one, for two, or for three or more physician visits during the
first trimester, respectively. No visits is the reference
category.
MASS. R package.
https://cran.r-project.org/package=MASS
Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.
Hosmer, D.W. and Lemeshow, S. (1989) Applied Logistic Regression. New York: Wiley
data(Birthwt) hist(Birthwt$bwt, xlab="Child's birth weight", main="") table(Birthwt$low) ## See examples in ?birthwt (MASS package) ## for more about the data set ## See examples in ?grpreg for use of this data set ## with group penalized regression models
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