BMI: BMI dataset

In swgee: Simulation Extrapolation Inverse Probability Weighted Generalized Estimating Equations

Description

a subset of the the Framingham Heart Study Data. The data set consists of measurements of 100 patients from a series of exams with 5 assessments for each individual. Individual's obesity status, age, systolic blood pressure (SBP) and cholesterol level (CHOL) are collected at each assessment.

Usage

data("BMI")

Format

A data frame with 500 observations on the following 7 variables.

id

a numeric vector for subject id

visit

a numeric vector for assessment time

age

a numeric vector of age

sbp

a numeric vector of systolic blood pressure

chol

a numeric vector of cholesterol level

bbmi

an indicator of obesity status(1=yes, 0=no)

O

an indicator of observed measurement(1=yes, 0=no)

Details

The author thanks Boston University and the National Heart, Lung, and Blood Institute (NHLBI) for providing the data set from the Framingham Heart Study (No. N01-HC-25195) in the illustration. The Framingham Heart Study is conducted and supported by the NHLBI in collaboration with Boston University. This package was not prepared in collaboration with investigators of the Framingham Heart Study and does not necessarily reflect the opinions or views of the Framingham Heart Study, Boston University, or NHLBI.

Source

Strug, L., Sun, L. and Corey, M. (2003). The genetics of cross-sectional and longitudinal body mass index. BMC Genetics 4 (Suppl 1), S14

Yoo, Y. J., Huo, Y., Ning, Y., Gordon, D., Finch, S. and Mendell, N. R. (2003). Power of maximum HLOD tests to detect linkage to obesity genes. BMC Genetics 4 (Suppl 1), S16.

References

Cook, J.R. and Stefanski, L.A. (1994) Simulation-extrapolation estimation in parametric measurement error models. Journal of the American Statistical Association, 89, 1314-1328.

Carrol, R.J., Ruppert, D., Stefanski, L.A. and Crainiceanu, C. (2006) Measurement error in nonlinear models: A modern perspective., Second Edition. London: Chapman and Hall.

Yi, G. Y. (2008) A simulation-based marginal method for longitudinal data with dropout and mismeasured covariates. Biostatistics, 9, 501-512.

Examples

data(BMI)

Example output

swgee documentation built on May 2, 2019, 10:25 a.m.