📢 Our next #DFG -funded symposium on
"Recent advances in #MetaAnalysis"
will be taking place May 28/29 in Göttingen.
For more details, see here:
➡️ https://medstat.umg.eu/aktuelles/symposium-meta-analysis-2026/
and stay tuned for updates!
#MetaAnalysis
New #preprint from the lab led by talented pharmacy grad student Ella Schwab: "Mouse macrophages from diverse niches show generally divergent age-related transcriptional remodeling signatures" showing a #metaanalysis of 🐭 macrophage aging RNA-seq data.🧪🖥️🧬 🔬. A🧵 1/4 www.biorxiv.org/content/10.6...
This synthesis aggregates findings from more than 200 meta-analyses, clarifying which ADHD treatments show real benefit and supporting evidence-based practice for clinicians, psychologists, psychiatrists, therapists, and social workers.
A companion interactive public website enables people with ADHD and care teams to explore what actually works, promoting shared decision-making; it also flags that most solid evidence covers short-term effects, highlighting a gap in long-term data.
Article Title: A massive ADHD study reveals what actually works
Link to Science Daily Mind-Brain News: https://ift dot tt/t4VM6L1
#ADHD #EvidenceBasedPractice #MetaAnalysis #MentalHealthProfessionals #ClinicalDecisionMaking
Copy and paste broken link above into your browser and replace "dot" with "." for link to work.
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Meta-Mar - AI-integrated {meta-analysis platform}
The tool supports a wide range of meta-analytic procedures, from basic effect size calculations to advanced heterogeneity assessment and publication bias evaluation.
Trong Magic: The Gathering Arena, cùng hạng nhưng người chơi có thể gặp các meta khác nhau vì MMR ẩn, trọng số bộ bài và cách xếp hàng. Câu hỏi: làm sao xác thực meta thực tế cho từng người và tránh bias? #MagicArena #Gaming #MetaAnalysis #MagicTheGathering #TròChơi #PhânTíchMeta
🤔 Meta-analyses considering differences between subgroups within each study ("treatment-by-subgroup interactions") do not necessarily yield matching estimates for effects within subgroups and the difference between them.
💡 @panaro worked out how explicit consideration of information fractions contributed by subgroups in the analysis model allows to fix this counterintuitive behaviour; see here for details:
➡️ https://arxiv.org/abs/2512.18785
(joint work with @friede1).
Irregular Diet and Esophageal Cancer:
🍽️ 6 studies analyzed
📊 Found RR of 4.181 (95% CI 2.196 – 7.960)
🔬 Heterogeneity sources: non-disease, nurses, Asians
#EsophagealCancer #IrregularDiet #MetaAnalysis #Genetics #Pub2Post https://tnyp.me/gQApwmOQ/m
Climate change is worse for the others 🌍, people believe. A meta-analysis of 83 studies involving over 70,000 participants across 17 countries reveals that people systematically underestimate their personal climate risk 🌡️.
Read Full Article
#ClimateChange #PersonalRisk #MetaAnalysis #ClimateAwareness #Sustainability https://www.nature.com/articles/s41893-025-01717-3
Reenviado desde Science News
(https://t.me/experienciainterdimensional/9992)
I did end up making some plots with orchaRd 2.0 last night. Not as pretty as the figures in the package authors' paper (these are rough versions), but I think they still show how informative these plots can be!
Spent some time today playing around with the R package orchaRd 2.0
It offers a really nice way of visualizing meta-analyses, especially moderator meta-regression models (with both categorical & continuous moderators!)
https://daniel1noble.github.io/orchaRd/
Irregular diet increases esophageal cancer risk:
🧪 Meta-analysis of 5 cohorts and 1 case-control study.
🔍 Summary RR: 4.181 with p=0.011.
📊 Significant heterogeneity in groups studied.
Title: Irregular Diet & Esophageal Cancer Risk Meta-Analysis
📈 Summary RR: 4.181 (CI 2.196–7.960)
🧐 High heterogeneity: 66.1%
🗺️ Asia: significant influence
📚 Data from 5 cohort + 1 case-control study
#CancerResearch #MetaAnalysis #DietaryImpact #ScientificFindings #Pub2Post https://tnyp.me/gQApwmOQ/m
#statstab #473 Synthesis without meta-analysis (SWiM) in systematic reviews
Thoughts: An interesting proposition for when you don't have good data for a meta-analysis.
Thrilled to announce that @shreyadimri and I will be part of #LoveMethods26! 🎉
We'll be running a session on "How to avoid common problems when doing a #systematicReview and #MetaAnalysis", sharing practical tips for conducting reproducible & transparent evidence syntheses
Love Methods Week (January 19–23, 2026) is a FREE online event where researchers come together to learn & share open, reusable methods. There's something for everyone!
👉 Full details & registration: https://excelscior.uc.pt/love-methods-week-2026/
🤔 Estimation of between-study variability (heterogeneity) is tricky when only few studies are available.
❓ Can we make use of additional information, by considering subgroups within studies?
💡 It turns out we can -- yielding better performance due to fewer zero-estimates and more degrees-of-freedom.
👉 See here: https://arxiv.org/abs/2511.15366
(Joint work with Ao Huang and @friede1 )
https://psychedelicmentalhealth.net/intravenous-ketamine-versus-esketamine-for-depression-a-systematic-review-and-meta-analysis-elmosalamy-et-al-2025/ "Based on the currently available comparative evidence, which is almost entirely observational, IV ketamine and IN esketamine show comparable acute response and remission rates, though IV ketamine may act faster. Large head-to-head RCTs are needed to confirm these findings." (Salamy, 2025) #ketamine #psychedelicresearch #ketaminetherapy #mentalhealth #depression #neuroscience #metaanalysis
#statstab #452 Assumption Checking Prevents Assumption Hacking in Multiverse Meta-Analyses
Thoughts: Heterogeneity, publication bias, multiverse analysis, z-curve and more.
#zcurve #multiverse #heterogeneity #metaanalysis #bias #publicationbias
#statstab #448 {metaforest} Small sample meta-analysis
Thoughts: "a machine-learning based, exploratory approach to identify relevant moderators in meta-analysis"
#ML #MachineLearning #metaanalysis #smallsample #samplesize #heterogeneity #moderator
https://cjvanlissa.github.io/metaforest/articles/Introduction_to_metaforest.html
#statstab #448 {metaforest} Small sample meta-analysis
Thoughts: "a machine-learning based, exploratory approach to identify relevant moderators in meta-analysis"
#ML #MachineLearning #metaanalysis #smallsample #samplesize #heterogeneity #moderator
https://cjvanlissa.github.io/metaforest/articles/Introduction_to_metaforest.html
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