dosresmeta consists of a collection of functions to estimate a dose-response relation from either a single or multiple summarized dose-response data.
The method was first formalized by Greenland and Longnecker (1992); the authors described how to approximate the covariances of reported log relative risks and how use them
to efficiently estimate an exposure-disease relation. The study specific estimates are combined through multivariate random-effect meta-analytical model, to obtaind
a pooled dose-response association.
| Package: |
| dosresmeta |
| Type: |
| Package |
| Version: |
| 1.3.2 |
| Date: |
| 2015-08-11 |
| License: |
| GPL-2 |
Orsini, N., Bellocco, R., Greenland, S. (2006). Generalized least squares for trend estimation of summarized dose-response data. Stata Journal, 6(1), 40.
Hamling, J., Lee, P., Weitkunat, R., Ambuhl, M. (2008). Facilitating meta-analyses by deriving relative effect and precision estimates for alternative comparisons from a set of estimates presented by exposure level or disease category. Statistics in medicine, 27(7), 954-970.
Orsini, N., Li, R., Wolk, A., Khudyakov, P., Spiegelman, D. (2012). Meta-analysis for linear and nonlinear dose-response relations: examples, an evaluation of approximations, and software. American journal of epidemiology, 175(1), 66-73.
Gasparrini, A., Armstrong, B., Kenward, M. G. (2012). Multivariate meta-analysis for non-linear and other multi-parameter associations. Statistics in Medicine, 31(29), 3821-3839.
Liu, Q., Cook, N. R., Bergstrom, A., Hsieh, C. C. (2009). A two-stage hierarchical regression model for meta-analysis of epidemiologic nonlinear dose-response data. Computational Statistics & Data Analysis, 53(12), 4157-4167.
dosresmeta, mvmeta