diabetes.complications: Data from a cohort study of patients with type 2 diabetes

Description

Anonymized data from a cohort study of patients with type 2 diabetes followed for ocular and macro-vascular complications.

Usage

data(diabetes.complications)

Arguments

Format

A data frame with 978 observations and 19 variables:

t: Follow-up time in years.
epsilon: Event type indicator (0 = censored, 1 = diabetic retinopathy, 2 = macro-vascular complication).
fruit: Fruit intake (g/day).
fruitq: Quartile of fruit intake.
fruitq1: Binary indicator for low fruit intake.
strata: Stratum used for inverse probability of censoring weights.
age: Age at baseline (years).
sex: Sex coded as 0 = woman, 1 = man.
bmi: Body mass index at baseline.
hba1c: Hemoglobin A1c (%).
diabetes_duration: Duration of diabetes (years).
drug_oha: Indicator for oral hypoglycemic agent use.
drug_insulin: Indicator for insulin use.
sbp: Systolic blood pressure (mmHg).
ldl: Low-density lipoprotein cholesterol (mg/dL).
hdl: High-density lipoprotein cholesterol (mg/dL).
tg: Triglycerides (mg/dL).
current_smoker: Indicator for current smoking status.
alcohol_drinker: Indicator for current alcohol drinking.
ltpa: Leisure-time physical activity (METs).

Details

The variables include follow-up time, cause-specific event indicators, exposure indicators for fruit intake, censoring strata, and a set of covariates used in the package vignettes.

Examples

Run this code

data(diabetes.complications)
str(diabetes.complications)

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