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A dataset from the MASS package containing risk factors associated with low birth weight (LBW) in newborns. Originally collected at Baystate Medical Center, Springfield, Massachusetts, USA.

Usage

data_birthwt

Format

A data frame with 189 observations and 10 variables:

low

Indicator for birth weight < 2500g (binary): 0 = normal, 1 = low birth weight

age

Mother's age in years (numeric)

lwt

Mother's weight in pounds at last menstrual period (numeric)

race

Mother's race (factor): 1 = White, 2 = Black, 3 = Other

smoke

Smoking status during pregnancy (binary): 0 = No, 1 = Yes

ptl

Number of previous premature labors (integer)

ht

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

ui

Presence of uterine irritability (binary): 0 = No, 1 = Yes

ftv

no of physician visits during the 1st trimester (integer, 0–6)

bwt

Birth weight in grams (numeric)

Source

Hosmer, D.W., Lemeshow, S. (1989). *Applied Logistic Regression.* New York: Wiley. Also available in MASS and described in detail in its documentation.

Details

The outcome variable is binary (`low`): birth weight < 2500g (yes = 1) or not (no = 0).