data_birthwt: Birth Weight Data
In gtregression: Tools for Creating Publication-Ready Regression Tables
data_birthwt R Documentation
Birth Weight Data
Description
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)
Details
The outcome variable is binary ('low'): birth weight < 2500g (yes = 1)
or not (no = 0).
Source
Hosmer, D.W., Lemeshow, S. (1989). *Applied Logistic Regression.*
New York: Wiley.
Also available in MASS and described in detail in its documentation.
gtregression documentation built on Aug. 18, 2025, 5:23 p.m.
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| data_birthwt | R Documentation |
Birth Weight Data
Description
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)
Details
The outcome variable is binary ('low'): birth weight < 2500g (yes = 1) or not (no = 0).
Source
Hosmer, D.W., Lemeshow, S. (1989). *Applied Logistic Regression.* New York: Wiley. Also available in MASS and described in detail in its documentation.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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