Estimation of regression models for sparse asynchronous longitudinal observations, where time-dependent response and covariates are mismatched and observed intermittently within subjects. Kernel weighted estimating equations are used for generalized linear models with either time-invariant or time-dependent coefficients.
Hongyuan Cao, Jason P. Fine, Jialiang Li, Donglin Zeng, and Shannon T. Holloway Maintainer: Shannon T. Holloway <shannon.t.hollowa@gmail.com>
| Package: | AsynchLong |
| Type: | Package |
| Version: | 2.2 |
| Date: | 2022-06-05 |
| License: | GPL-2 |
Cao, H., Zeng, D., and Fine, J. P. (2015) Regression Analysis of sparse asynchronous longitudinal data. Journal of the Royal Statistical Society: Series B, 77, 755-776.
Cao, H., Li, Jialiang, and Fine, J. P. (2016). On last observation carried forward and asynchronous longitudinal regression analysis. Electronic Journal of Statistics, 10, 1155-1180.
asynchTD,
asynchTI,
asynchLV