dat.fib

This multivariate meta-analysis serves as an example to illustrate function usage in the package altmeta. It consists of 31 studies with 4 outcomes.

dataset

Provides alternative statistical methods for meta-analysis, including:
- bivariate generalized linear mixed models for synthesizing odds ratios, relative risks,
and risk differences
(Chu et al., 2012 <doi:10.1177/0962280210393712>)
- heterogeneity tests and measures and penalization methods that are robust to outliers
(Lin et al., 2017 <doi:10.1111/biom.12543>;
Wang et al., 2022 <doi:10.1002/sim.9261>);
- measures, tests, and visualization tools for publication bias or small-study effects
(Lin and Chu, 2018 <doi:10.1111/biom.12817>;
Lin, 2019 <doi:10.1002/jrsm.1340>;
Lin, 2020 <doi:10.1177/0962280220910172>;
Shi et al., 2020 <doi:10.1002/jrsm.1415>);
- meta-analysis of combining standardized mean differences and odds ratios
(Jing et al., 2023 <doi:10.1080/10543406.2022.2105345>);
- meta-analysis of diagnostic tests for synthesizing sensitivities, specificities, etc.
(Reitsma et al., 2005 <doi:10.1016/j.jclinepi.2005.02.022>;
Chu and Cole, 2006 <doi:10.1016/j.jclinepi.2006.06.011>);
- meta-analysis methods for synthesizing proportions
(Lin and Chu, 2020 <doi:10.1097/ede.0000000000001232>);
- models for multivariate meta-analysis, measures of inconsistency degrees of freedom
in Bayesian network meta-analysis, and predictive P-score
(Lin and Chu, 2018 <doi:10.1002/jrsm.1293>;
Lin, 2020 <doi:10.1080/10543406.2020.1852247>;
Rosenberger et al., 2021 <doi:10.1186/s12874-021-01397-5>).

Lifeng Lin

altmeta

Alternative Meta-Analysis Methods

Yaqi Jing

Kristine J. Rosenberger

Linyu Shi

Yipeng Wang

Haitao Chu

dat.fib function

A list containing three elements, <code>y</code>, <code>S</code>, and <code>sd</code>.<dl>
 <dt><code>y</code></dt>
<dd>a 31 x 4 numeric matrix containing the observed effect sizes; the rows represent studies and the columns represent outcomes.</dd> <dt><code>S</code></dt>
<dd>a list containing 31 elements; each element is within-study covariance matrix of the corresponding study.</dd> <dt><code>sd</code></dt>
<dd>a 31 x 4 numeric matrix containing the within-study standard deviations; the rows represent studies and the columns represent outcomes.</dd> 
</dl>

Format

A Multivariate Meta-Analysis by the Fibrinogen Studies Collaboration — dat.fib

A list containing three elements, <code>y</code>, <code>S</code>, and <code>sd</code>.<dl>
 <dt><code>y</code></dt>
<dd>a 31 x 4 numeric matrix containing the observed effect sizes; the rows represent studies and the columns represent outcomes.</dd>

 <dt><code>S</code></dt>
<dd>a list containing 31 elements; each element is within-study covariance matrix of the corresponding study.</dd>

 <dt><code>sd</code></dt>
<dd>a 31 x 4 numeric matrix containing the within-study standard deviations; the rows represent studies and the columns represent outcomes.</dd>

 
</dl>

dat.fib: A Multivariate Meta-Analysis by the Fibrinogen Studies Collaboration

Description

Usage

Arguments

Format