seatbelt: Seatbelt Data

In cvam: Coarsened Variable Modeling

Seatbelt Data

Description

This dataset, previously analyzed by Hochberg (1977), Chen (1989) and Schafer (1997), pertains to the effectiveness of seatbelts for preventing injury in automobile accidents. In a sample drawn from police reports, 80,084 accidents were classified by sex of the driver, degree of damage to the car (low or high), seatbelt use (no, yes) and whether the driver was injured (no, yes). Experience had shown that police tended to overestimate the proportion of drivers who were not using seatbelts and were not injured. To evaluate those potential biases, a followup study was conducted with 1,796 additional accidents. In the followup, investigators obtained more reliable information on seatbelt use and injury from personal interviews and hospital records.

Usage

seatbelt

Format

a data frame with 80 rows and 8 variables:

source

source of the data; "sample" indicates the original sample of police reports, and "followup" indicates the followup study

sex

sex of the driver ("M" or "F")

damage

degree of damage to the automobile ("low" or "high")

belt.p

whether the driver was wearing a seatbelt, according to the police report ("no" or "yes")

injury.p

whether the driver was injured, according to the police report ("no" or "yes")

belt.f

whether the driver was wearing a seatbelt, as determined in the followup study ("no" or "yes")

injury.f

whetherthe driver was injured, as determined in the followup study ("no" or "yes")

Source

Chen, T.T. (1989) A review of methods for misclassified categorical data in epidemiology. Statistics in Medicine, 8, 1095-1106.

Hochberg, Y. (1977) On the use of double sampling schemes in analyzing categorical data with misclassification errors. Journal of the American Statistical Association, 72, 914-921.

Schafer, J.L. (1997) Analysis of Incomplete Multivariate Data. London: Chapman & Hall/CRC Press.

cvam documentation built on March 7, 2023, 5:29 p.m.