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metamedian: Meta-Analysis of Medians

The metamedian package 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) and Ozturk and Balakrishnan (2020) can be applied to estimate the pooled median. In the two-group context, the methods of McGrath et al. (2020a) can be applied to estimate the pooled difference of medians across groups.

Additionally, this package implements a number of methods to estimate the study-specific means and their standard errors from studies reporting sample medians in order to estimate the pooled (difference of) means. Specifically, one can apply the following methods in this context:

Installation

You can install the released version of metamedian from CRAN with:

install.packages("metamedian")

After installing the devtools package (i.e., calling install.packages(devtools)), the development version of metamedian can be installed from GitHub with:

devtools::install_github("stmcg/metamedian")

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Install

install.packages('metamedian')

Monthly Downloads

314

Version

1.1.0

License

GPL (>= 3)

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Maintainer

Last Published

September 16th, 2023

Functions in metamedian (1.1.0)

print.describe_studies

Print method for "describe_studies" objects
qe

Meta-Analysis via quantile estimation method
pool.med

Meta-Analysis via median of (the difference of) medians method
metamedian-defunct

Defunct functions in package ‘metamedian’
metamean

Meta-Analysis of the (difference of) means
dat.age

Example data set: Comparing the age between COVID-19 survivors and nonsurvivors (cleaned version)
describe_studies

Descriptive statistics for meta-analyzing studies reporting medians
cd

Meta-Analysis via the confidence distribution approach
dat.ck

Example data set: Comparing creatine kinase levels between COVID-19 survivors and nonsurvivors (cleaned version)
dat.age_raw

Example data set: Comparing the age between COVID-19 survivors and nonsurvivors (raw version)
dat.phq9

Example data set: Patient Health Questionnaire-9 (PHQ-9) scores (processed version)
dat.ck_raw

Example data set: Comparing creatine kinase transaminase levels between COVID-19 survivors and nonsurvivors (raw version)
dat.asat

Example data set: Comparing aspartate transaminase levels between COVID-19 survivors and nonsurvivors (cleaned version)
qe.study.level

Study-Level application of quantile estimation method
metamedian

Meta-Analysis of the (difference of) medians
dat.phq9_raw

Example data set: Patient Health Questionnaire-9 (PHQ-9) scores (raw version)
dat.asat_raw

Example data set: Comparing aspartate transaminase levels between COVID-19 survivors and nonsurvivors (raw version)