Package: metamedian 1.2.2

metamedian: Meta-Analysis of Medians

Implements several methods to meta-analyze studies that report the sample median of the outcome. The methods described by McGrath et al. (2019) <doi:10.1002/sim.8013>, Ozturk and Balakrishnan (2020) <doi:10.1002/sim.8738>, and McGrath et al. (2020a) <doi:10.1002/bimj.201900036> can be applied to directly meta-analyze the median or difference of medians between 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. Methods for meta-analyzing median survival times (McGrath et al. (2026) <doi:10.1002/sim.70533>) are also implemented. See McGrath et al. (2024) <doi:10.1002/jrsm.1686> for a detailed guide on using the package.

Authors:Sean McGrath [aut, cre], XiaoFei Zhao [aut], Stephan Katzenschlager [aut], Omer Ozturk [aut], Renata Iskander [ctb], Russell Steele [aut], Andrea Benedetti [aut]

metamedian_1.2.2.tar.gz
metamedian_1.2.2.zip(r-4.7)metamedian_1.2.2.zip(r-4.6)metamedian_1.2.2.zip(r-4.5)
metamedian_1.2.2.tgz(r-4.6-any)metamedian_1.2.2.tgz(r-4.5-any)
metamedian_1.2.2.tar.gz(r-4.7-any)metamedian_1.2.2.tar.gz(r-4.6-any)
metamedian_1.2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
metamedian/json (API)

# 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

Datasets:
  • 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.lung - Example data set: Overall survival times in patients with lung cancer
  • dat.phq9 - Example data set: Patient Health Questionnaire-9
  • dat.phq9_raw - Example data set: Patient Health Questionnaire-9

On CRAN:

Conda:

4.65 score 10 stars 18 scripts 692 downloads 5 mentions 8 exports 65 dependencies

Last updated from:cac7b84a92. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK170
source / vignettesOK171
linux-release-x86_64OK150
macos-release-arm64OK128
macos-oldrel-arm64OK111
windows-develOK140
windows-releaseOK119
windows-oldrelOK119
wasm-releaseOK122

Exports:cddescribe_studiesmetameanmetamedianmetamedian_survivalpool.medqeqe.study.level

Dependencies:backportsbase64encbslibcachemcheckmatecliclustercolorspacecpp11data.tabledigestestmeansdevaluatefarverfastmapfontawesomeforeignFormulafsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrmathjaxrMatrixmemoisemetaBLUEmetadatmetaformimenlmennetnumDerivpbapplyR6rappdirsRColorBrewerrlangrmarkdownrpartrstudioapiS7sassscalesstringistringrtinytexvctrsviridisLitewithrxfunyaml

Readme and manuals

Help Manual

Help pageTopics
Meta-Analysis via the confidence distribution approachcd
Example data set: Comparing the age between COVID-19 survivors and nonsurvivors (cleaned version)dat.age
Example data set: Comparing the age between COVID-19 survivors and nonsurvivors (raw version)dat.age_raw
Example data set: Comparing aspartate transaminase levels between COVID-19 survivors and nonsurvivors (cleaned version)dat.asat
Example data set: Comparing aspartate transaminase levels between COVID-19 survivors and nonsurvivors (raw version)dat.asat_raw
Example data set: Comparing creatine kinase levels between COVID-19 survivors and nonsurvivors (cleaned version)dat.ck
Example data set: Comparing creatine kinase transaminase levels between COVID-19 survivors and nonsurvivors (raw version)dat.ck_raw
Example data set: Overall survival times in patients with lung cancerdat.lung
Example data set: Patient Health Questionnaire-9 (PHQ-9) scores (processed version)dat.phq9
Example data set: Patient Health Questionnaire-9 (PHQ-9) scores (raw version)dat.phq9_raw
Descriptive statistics for meta-analyzing studies reporting sample mediansdescribe_studies
Meta-Analysis of the (difference of) meansmetamean
Meta-Analysis of the (difference of) mediansmetamedian
Meta-Analysis of the median survival timesmetamedian_survival
Defunct functions in package 'metamedian'metamedian-defunct
Meta-Analysis via median of (the difference of) medians methodpool.med
Print method for "describe_studies" objectsprint.describe_studies
Meta-Analysis via quantile estimation methodqe
Study-Level application of quantile estimation methodqe.study.level