Diabetes Data

Data from 442 diabetes patients used in Section 7.3. The response is a quantitative measure of disease progression one year after baseline. There are ten baseline predictors: age, sex, body-mass index, average blood pressure, and six blood serum measurements.

Format

A data frame with 442 rows and 12 variables:

X

Row index

age

Age of patient

sex

Sex of patient

bmi

Body mass index

map

Average blood pressure (mean arterial pressure)

tc

Total cholesterol (serum measurement)

ldl

Low-density lipoproteins (serum measurement)

hdl

High-density lipoproteins (serum measurement)

tch

Total cholesterol / HDL (serum measurement)

ltg

Log of triglycerides (serum measurement)

glu

Blood sugar level (serum measurement)

prog

Response: quantitative measure of disease progression

Source

https://hastie.su.domains/CASI_files/DATA/diabetes.csv

Details

First used in the LARS paper (Efron et al., 2004).

Note: In Table 7.2, the centered predictor variables were standardized to unit L2 norm. In Table 20.1 they were standardized to unit variance.

References

Efron, B., Hastie, T., Johnstone, I. and Tibshirani, R. (2004). Least Angle Regression. Annals of Statistics, 32(2), 407-499.

Efron, B. and Hastie, T. (2016). Computer Age Statistical Inference. Cambridge University Press, Section 7.3.