burn1000 {aplore3}

BURN1000 data

Description

burn1000 dataset.

Usage

burn1000

Format

A data.frame with 1000 rows and 9 variables:

id

Identification code (1 - 1000)

facility

Burn facility (1 - 40)

death

Hospital discharge status (1: Alive, 2: Dead)

age

Age at admission (Years)

gender

Gender (1: Female, 2: Male)

race

Race (1: Non-White, 2: White)

tbsa

Total burn surface area (0 - 100%)

inh_inj

Burn involved inhalation injury (1: No, 2: Yes)

flame

Flame involved in burn injury (1: No, 2: Yes)

Source

Hosmer, D.W., Lemeshow, S. and Sturdivant, R.X. (2013) Applied Logistic Regression, 3rd ed., New York: Wiley

Examples

head(burn1000, n = 10)
summary(burn1000)

## Table 3.15 p. 80
summary(mod3.15 <- glm(death ~ tbsa + inh_inj + age + gender + flame + race,
                       family = binomial, data = burn1000 ))