vat: NEO visceral adipose tissue data [internal...

In LindaNab/mecor: Measurement Error Correction in Linear Models with a Continuous Outcome

Description

Insulin resistance, waist circumference, sex, age, total body fat and visceral adipose tissue of 650 individuals from the Netherlands Epidemiology of Obesity (NEO) study. Visceral adipose tissue measurements were taken of approximately 40% of the individuals, at random.

Usage

vat

Format

A data frame with 650 rows and 6 variables:

ir_ln

Natural logarithm of insulin resistance (fasting glucose (mmol/L) x fasting insulin (mU/L) / 22.5)

wc

Waist circumference (standardised, cm)

sex

Sex (0 = male, 1 = female)

age

Age (years)

tbf

Total body fat (standardised, %)

vat

Visceral adipose tissue (standardised, cm^2)

Details

This is a simulated data set inspired by the NEO data <doi:10.1007/s10654-013-9801-3>. A motivating example using the example data can be found here: <doi:10.1093/aje/kwab114>

References

Renee de Mutsert, Martin den Heijer, Ton J Rabelink, Johannes WA Smit, Johannes A Romijn, Johan W Jukema, Albert de Roos, Christa M Cobbaert, Margreet Kloppenburg, Saskia le Cessie, Saskia Middeldorp, Frits R Rosendaal. The Netherlands epidemiology of obesity (NEO) study: Study design and data collection. European Journal of Epidemiology (2013). <doi:10.1007/s10654-013-9801-3>

Linda Nab, Maarten van Smeden, Renee de Mutsert, Frits R Rosendaal, and Rolf HH Groenwold. Sampling strategies for internal validation samples for exposure measurement error correction: A study of visceral adipose tissue measures replaced by waist circumference measures. American Journal of Epidemiology (2021). <doi:10.1093/aje/kwab114>

Examples

data("vat", package = "mecor")

LindaNab/mecor documentation built on Dec. 15, 2021, 6:59 p.m.