R Dataset / Package COUNT / azdrg112

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How To Compute the Mean

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How To Create a Plot

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How to Compute the Median

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Regression

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Attachment Size
dataset-23543.csv 14.25 KB
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
R Dataset Help

On this Picostat.com statistics page, you will find information about the azdrg112 data set which pertains to azdrg112. The azdrg112 data set is found in the COUNT R package. You can load the azdrg112 data set in R by issuing the following command at the console data("azdrg112"). This will load the data into a variable called azdrg112. If R says the azdrg112 data set is not found, you can try installing the package by issuing this command install.packages("COUNT") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the azdrg112 R data set. The size of this file is about 14,593 bytes.

Documentation

azdrg112

Description

The data set relates to the hospital length of stay for patients having a CABG or PTCA (typel) heart procedure. The data comes from the 1995 Arizona Medicare data for DRG (Diagnostic Related Group) 112. Other predictors include gender(1=female) and age75 (1-age 75+). Type is labeled as 1=emergency or urgent admission; 0= elective. Length of stay (los) ranges from 1 to 53 days.

Usage

data(azdrg112)

Format

A data frame with 1,798 observations on the following 4 variables.

los

hospital length of stay: 1-53 days

gender

1=male; 0=female

type1

1=emergency/urgent admission; 0=elective admission

age75

1=age>75; 0=age<=75

Details

azdrg112 is saved as a data frame. Count models typically use los as response variable. 0 counts are not included

Source

DRG 112 data from the 1995 Arizona Medicare (MedPar) State files

References

Hilbe, Joseph M (2007, 2011), Negative Binomial Regression, Cambridge University Press

Examples

data(azdrg112)
glmazp <- glm(los ~ type1 + gender + age75, family=poisson, data=azdrg112)
summary(glmazp)
exp(coef(glmazp))
library(MASS)
glmaznb <- glm.nb(los ~ type1 + gender + age75, data=azdrg112)
summary(glmaznb)
exp(coef(glmaznb))
--

Dataset imported from https://www.r-project.org.

All Public Datasets File Size
Test 394 bytes
Q1 332 bytes
prova_Correlatio 593 bytes
profva
test 332 bytes
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