heart: Heart surgery outcomes for Canadian patients

In msme: Functions and Datasets for "Methods of Statistical Model Estimation"

Description

The data consists of Canadian patients who have either a Coronary Artery Bypass Graft surgery (CABG) or Percutaneous Transluminal Coronary Angioplasty (PTCA) heart procedure.

Usage

data(heart)

Format

A grouped binomial data frame with 15 observations.

death

number of patients that died within 48 hours of hospital admission

cases

number of patients monitored

anterior

1: anterior site damage heart attack; 0: other site damage

hcabg

1: previous CABG procedure; 0: previous PTCA procedure;

killip

1: normal heart; 2: angina; 3: minor heart blockage; 4: heart attack or myocardial infarction;

Details

The data are presented as a grouped binomial dataset, with each row representing a different combination of the predictor variables.

Source

National Canadian Registry of Cardiovascular Disease

References

Hilbe, Joseph M (2009), Logistic Regression Models, Chapman & Hall/CRC first used in Hardin, JW and JM Hilbe (2001, 2007), Generalized Linear Models and Extensions, Stata Press

Examples

data(heart)

heart.nb <- irls(death ~ anterior + hcabg + factor(killip),
                 a = 0.0001,
                 offset = log(heart$cases),
                 family = "negBinomial", link = "log",
                 data = heart)

msme documentation built on May 2, 2019, 5:07 a.m.