dosresmeta-package: Performing multivariate dose-response meta-analysis
Description
The package 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.Details
ll{ Package: dosresmeta
Type: Package
Version: 1.3
Date: 2013-12-27
License: GPL-2
}References
Greenland, S., Longnecker, M. P. (1992). Methods for trend
estimation from summarized dose-response data, with
applications to meta-analysis. American journal of
epidemiology, 135(11), 1301-1309.
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.