ESMARConf2023: Workshop 4 - Testing (semi)-automated de-duplication methods in evidence synthesis

(1:19:37)

ESMARConf2023: Workshop 6 - Screening studies for eligibility in evidence syntheses

(1:30:30)

ESMARConf2023: Workshop 10 - How the FEAT framework can help you

(1:27:33)

ESMARConf2023: Workshop 5 - Network meta-analysis using R package netmeta

(1:59:32)

ESMARConf2023: Workshop 8 - Advanced Git \u0026 GitHub

(1:23:54)

ESMARConf2023: Workshop 9 - Introduction to R Shiny

(2:59)

ESMARConf2023: Workshop 2 - Wrangling large teams for research synthesis

(1:22:40)

ESMARConf2023: Workshop 1 - Test, adjust for and report publication bias

(1:54:39)

Eco-Metabolomics Workshop 2024 - Day 3 Session 12 - SIRIUS Hands-On (Marcus Ludwig)

(1:51:6)

Statistical analysis of the microbiome data with R - Eliana Ibrahimi

(57:6)

Meta-Analysis in R with {metafor}

(1:40:41)

Bayesian Modeling with R and Stan (Reupload)

(52:47)

Network Meta-Analysis in Guidelines (2)

(14:48)

Network Meta-Analysis: An Introduction for Clinicians | Prof. Andrea Cipriani | ICAMS 2022

(1:11:26)

A Beginners Guide to Network Meta Analysis - Dr Chris Noone

(58:)

使用SUCRA(The surface under the cumulative ranking curve)進行網絡統合分析治療排名

(18:7)

Finding clarity in complexity: an introduction to the concept of network meta-analysis

(34:30)

ESMARConf2023: Workshop 3 - Reporting guidelines to ensure transparency of evidence syntheses

(1:28:7)

ESMARConf2023: Workshop 7 - Introduction to GitHub

(1:30:25)

ESMARConf2023: Presentations 4 - Quantitative Synthesis 1

(56:21)

ESMARConf2023: {metamedian} tutorial

(11:18)

ESMARConf2023: {MetaPipeX} tutorial

(20:50)

ESMARConf2023: {metaBMA} tutorial

(19:58)

ESMARConf2023: {rankheatplot} tutorial

(13:5)