Combining multivariate estimators of the mean vector
Discussiones Mathematicae Probability and Statistics (2005)
- Volume: 25, Issue: 1, page 77-89
- ISSN: 1509-9423
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topIwona Janicka. "Combining multivariate estimators of the mean vector." Discussiones Mathematicae Probability and Statistics 25.1 (2005): 77-89. <http://eudml.org/doc/287607>.
@article{IwonaJanicka2005,
abstract = {Meta-analysis is a standard statistical method used to combine the conclusions of individual studies that are related and the results of single study alone can not answered to deal with issues. The data are summarized by one or more outcome measure estimates along with their standard errors. The multivariate model and the variations between studies are not considered in most articles. Here we discuss multivariate effects models: a multivariate fixed effects model and a multivariate random effects model.},
author = {Iwona Janicka},
journal = {Discussiones Mathematicae Probability and Statistics},
keywords = {meta-analysis; the fixed effects model; the random effects model; fixed effects model; random effects model},
language = {eng},
number = {1},
pages = {77-89},
title = {Combining multivariate estimators of the mean vector},
url = {http://eudml.org/doc/287607},
volume = {25},
year = {2005},
}
TY - JOUR
AU - Iwona Janicka
TI - Combining multivariate estimators of the mean vector
JO - Discussiones Mathematicae Probability and Statistics
PY - 2005
VL - 25
IS - 1
SP - 77
EP - 89
AB - Meta-analysis is a standard statistical method used to combine the conclusions of individual studies that are related and the results of single study alone can not answered to deal with issues. The data are summarized by one or more outcome measure estimates along with their standard errors. The multivariate model and the variations between studies are not considered in most articles. Here we discuss multivariate effects models: a multivariate fixed effects model and a multivariate random effects model.
LA - eng
KW - meta-analysis; the fixed effects model; the random effects model; fixed effects model; random effects model
UR - http://eudml.org/doc/287607
ER -
References
top- [1] S.E. Brockwell and I.R. Gordon, A comparison of statistical methods for meta - analysis, Statistics In Medicine 20 (2001), 825-840.
- [2] R. DerSimonian and N. Laird, Meta-analysis in clinical trials, Controlled Clinical Trials 7 (1986), 177-188.
- [3] L.V. Hedges and I. Olkin, Statistical Methods for meta- Analysis, Academic Press, Orlando 1985.
- [4] S.L. Normand, Tutorial in biostatistics. Meta-analysis: formulating, evaluating, combining, and reporting, Statistics In Medicine 18 (1999), 321-359.
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