LBW: Low Birth Weight Data

In Raydonal/prLogistic: Estimation of Prevalence Ratios using Logistic Models

Description

Data are from a hypothetical study to evaluate factors associated to low birth weight. This data set contains information on 488 births to 188 women seen in an obstetrics clinic, comprising 1 to 3 births for each woman and yielding an average of 2.6 births per women. The outcome binary variable "low" indicates low birth weight defined as birth weight less than 2500 grams. These data are copyrighted by John Wiley & Sons Inc. and are used here to illustrate the calculation of prevalence ratios and corresponding confidence intervals.

Usage

data(LBW)

Format

A data frame with 488 observations on the following 6 variables:

ID

Subject's identification.

birth

Birth order.

smoke

Smoking Status During Pregnancy (1=Yes, 0= No).

race

Race (1=White, 0= Others).

age

Age of Mother (1= age greater than 35 years, 0= age less or equal to 35 years).

low

Low Birth Weight (1 if birth weight less than 2500 grams, 0 if birth weight greater or equal to 2500 grams).

Source

The data come from
Data courtesy of University of Massachusetts Amherst (http://www.umass.edu/statdata/statdata/stat-logistic.html)

These data are copyrighted by John Wiley & Sons Inc. We acknowledged it and use the data to illustrate the methodology included in this library.

References

Hosmer and Lemeshow (2000) Applied Logistic Regression. New York: Wiley Inter-Science. Second Edition.

Examples

data("LBW", package = "prLogistic")
attach(LBW)
summary(LBW)

Raydonal/prLogistic documentation built on May 28, 2019, 2:27 p.m.