Package: metamedian 1.1.2
Sean McGrath
metamedian: Meta-Analysis of Medians
Implements several methods to meta-analyze studies that report the sample median of the outcome. When the primary studies are one-group studies, the methods of McGrath et al. (2019) <doi:10.1002/sim.8013> and Ozturk and Balakrishnan (2020) <doi:10.1002/sim.8738> can be applied to estimate the pooled median. In the two-group context, the methods of McGrath et al. (2020a) <doi:10.1002/bimj.201900036> can be applied to estimate the pooled difference of medians across groups. Additionally, a number of methods (e.g., McGrath et al. (2020b) <doi:10.1177/0962280219889080>, Cai et al. (2021) <doi:10.1177/09622802211047348>, and McGrath et al. (2023) <doi:10.1177/09622802221139233>) are implemented to estimate study-specific (difference of) means and their standard errors in order to estimate the pooled (difference of) means. See McGrath et al. (2024) <doi:10.1002/jrsm.1686> for a detailed guide on using the package.
Authors:
metamedian_1.1.2.tar.gz
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metamedian.pdf |metamedian.html✨
metamedian/json (API)
NEWS
| # Install 'metamedian' in R: |
| install.packages('metamedian', repos = c('https://stmcg.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/stmcg/metamedian/issues
- dat.age - Example data set: Comparing the age between COVID-19 survivors and nonsurvivors
- dat.age_raw - Example data set: Comparing the age between COVID-19 survivors and nonsurvivors
- dat.asat - Example data set: Comparing aspartate transaminase levels between COVID-19 survivors and nonsurvivors
- dat.asat_raw - Example data set: Comparing aspartate transaminase levels between COVID-19 survivors and nonsurvivors
- dat.ck - Example data set: Comparing creatine kinase levels between COVID-19 survivors and nonsurvivors
- dat.ck_raw - Example data set: Comparing creatine kinase transaminase levels between COVID-19 survivors and nonsurvivors
- dat.phq9 - Example data set: Patient Health Questionnaire-9
- dat.phq9_raw - Example data set: Patient Health Questionnaire-9
Last updated 2 months agofrom:7fa5f7c5ae. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 13 2024 |
| R-4.5-win | OK | Nov 13 2024 |
| R-4.5-linux | OK | Nov 13 2024 |
| R-4.4-win | OK | Nov 13 2024 |
| R-4.4-mac | OK | Nov 13 2024 |
| R-4.3-win | OK | Nov 13 2024 |
| R-4.3-mac | OK | Nov 13 2024 |
Exports:cddescribe_studiesmetameanmetamedianpool.medqeqe.study.level
Dependencies:backportsbase64encbslibcachemcheckmatecliclustercolorspacedata.tabledigestestmeansdevaluatefansifarverfastmapfontawesomeforeignFormulafsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSmathjaxrMatrixmemoisemetaBLUEmetadatmetaformgcvmimemunsellnlmennetnumDerivpbapplypillarpkgconfigR6rappdirsRColorBrewerrlangrmarkdownrpartrstudioapisassscalesstringistringrtibbletinytexutf8vctrsviridisviridisLitewithrxfunyaml
