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This study focused on risks associated with low weight at birth; the data were collected at the Baystate Medical Centre, Massachusetts, in 1986. Physicians have been interested in low weight at birth for several years, because underweight babies have high rates of infant mortality and infant anomalies. The behaviour of the mother-to-be during pregnancy (diet, smoking habits) can have a significant impact on the chances of having a full-term pregnancy, and thus of giving birth to a child of normal weight. The data file includes information on 189 women (identification number: ID) who came to the centre for consultation. Weight at birth is categorized as low if the child weighs less than 2,500 g.
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A data frame with 189 observations measured on the following 11 variables.
ID
Numeric. Identification.
AGE
Numeric. Age of mother.
LWT
Numeric. Weight of mother at last menstrual period.
RACE
1=white, 2=black, 3=other. Race of mother.
SMOKE
Yes=1, No=0. Smoking during pregnancy.
PTL
0=none, 1=one, 2=two, etc. Number of premature births in medical history.
HT
Yes=1, No=0. Medical history of hypertension.
UI
Yes=1, No=0. Uterine irritability.
FVT
0=none, 1=one, etc. Number of medical consultations during first trimester
BWT
Numeric. Grams.
LOW
Yes=1, No=0. Weight at birth less than 2,500g
Lafaye de Micheaux Pierre <lafaye@unsw.edu.au>, Remy Drouilhet <Remy.Drouilhet@upmf-grenoble.fr>, Liquet Benoit <b.liquet@uq.edu.au>
http://www.biostatisticien.eu/springeR/
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'data.frame': 189 obs. of 11 variables:
$ ID : int 85 86 87 88 89 91 92 93 94 95 ...
$ AGE : int 19 33 20 21 18 21 22 17 29 26 ...
$ LWT : int 182 155 105 108 107 124 118 103 123 113 ...
$ RACE : int 2 3 1 1 1 3 1 3 1 1 ...
$ SMOKE: int 0 0 1 1 1 0 0 0 1 1 ...
$ PTL : int 0 0 0 0 0 0 0 0 0 0 ...
$ HT : int 0 0 0 0 0 0 0 0 0 0 ...
$ UI : int 1 0 0 1 1 0 0 0 0 0 ...
$ FVT : int 0 3 1 2 0 0 1 1 1 0 ...
$ BWT : int 2523 2551 2557 2594 2600 2622 2637 2637 2663 2665 ...
$ LOW : num 0 0 0 0 0 0 0 0 0 0 ...
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