altmeta

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) - heterogeneity tests and measures and penalization methods that are robust to outliers (Lin et al., 2017; Wang et al., 2022); - measures, tests, and visualization tools for publication bias or small-study effects (Lin and Chu, 2018; Lin, 2019; Lin, 2020; Shi et al., 2020); - meta-analysis of combining standardized mean differences and odds ratios (Jing et al., 2023); - meta-analysis of diagnostic tests for synthesizing sensitivities, specificities, etc. (Reitsma et al., 2005; Chu and Cole, 2006); - meta-analysis methods for synthesizing proportions (Lin and Chu, 2020); - models for multivariate meta-analysis, measures of inconsistency degrees of freedom in Bayesian network meta-analysis, and predictive P-score (Lin and Chu, 2018; Lin, 2020; Rosenberger et al., 2021).

Last 30 days

This package has been downloaded 397 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 16 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 5,772 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Aug 28, 2024 with 80 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.