swgee-package {swgee} | R Documentation |
Simulation Extrapolation Inverse Probability Weighted Generalized Estimating Equations
Description
Simulation extrapolation and inverse probability weighted generalized estimating equations method for longitudinal data with missing observations and measurement error in covariates. References: Yi, G. Y. (2008) <doi:10.1093/biostatistics/kxm054>; Cook, J. R. and Stefanski, L. A. (1994) <doi:10.1080/01621459.1994.10476871>; Little, R. J. A. and Rubin, D. B. (2002, ISBN:978-0-471-18386-0).
Details
The DESCRIPTION file:
Package: | swgee |
Type: | Package |
Title: | Simulation Extrapolation Inverse Probability Weighted Generalized Estimating Equations |
Version: | 1.4 |
Date: | 2019-03-20 |
Imports: | stats, graphics, gee, geepack, mvtnorm, |
LazyLoad: | yes |
Author: | Juan Xiong <jxiong@szu.edu.cn>, Grace Y. Yi <yyi@uwaterloo.ca> |
Maintainer: | Juan Xiong <jxiong@szu.edu.cn> |
Description: | Simulation extrapolation and inverse probability weighted generalized estimating equations method for longitudinal data with missing observations and measurement error in covariates. References: Yi, G. Y. (2008) <doi:10.1093/biostatistics/kxm054>; Cook, J. R. and Stefanski, L. A. (1994) <doi:10.1080/01621459.1994.10476871>; Little, R. J. A. and Rubin, D. B. (2002, ISBN:978-0-471-18386-0). |
License: | GPL-3 |
Index of help topics:
BMI BMI dataset getsimexest getsimexest plot.swgee plot.swgee print.summary.swgee print.summary.swgee print.swgee print.swgee summary.swgee summary.swgee swgee Simulation Extrapolation Inverse Probability Weighted Generalized Estimating Equations swgee-package Simulation Extrapolation Inverse Probability Weighted Generalized Estimating Equations
Implementation of the SIMEX inverse probability weighted GEE method for longitudinal data with missing observations and measurement error in covariates
Author(s)
Juan Xiong <jxiong@szu.edu.cn>, Grace Y. Yi<yyi@uwaterloo.ca>
Maintainer: Juan Xiong <jxiong@szu.edu.cn>
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.