Our open-access manuscript has now been published at the Biometrical Journal! Many thanks to all of my co-authors in this work: @AChaimani@MetelliSilvia@LeuchtStefan@SiafisS Rebecca Turner and Johannes-Schneider Thomas
Manuscript available here:
https://t.co/siK48onff1
Happy to finally see our paper out on JRSSA! Check out our ways to perform outlier-detection in network meta-analysis!
Many thanks to my amazing co-authors @AChaimani, @dimi_mavridis, and Perrine Créquit!!
📢New paper alert: Bayesian model-based outlier detection in network meta-analysis
@MetelliSilvia (@Inserm) et al. propose 2 Bayesian methods to detect outliers in a network meta-analysis via: a) a mean-shifted outlier model and b) posterior predictive
🔓https://t.co/NJMFtB2cgV
APPLICATIONS to the Master's have OPENED!
This MSc is a unique opportunity to learn about innovative approaches in Comparative Effectiveness in Research with renowned European professors. It is taught in English, in Paris, and costs about 350€!
More info: https://t.co/thLfd4VzAZ
We offer a 3-year fully-funded PhD position on methods for Evidence Synthesis!!
Come and join us in Paris and enjoy working within a multidisciplinary and highly motivated team!
More information and contact details at https://t.co/bQbSBX2nPi
Closing date: 5 September
We offer two places for Ukrainian researchers to attend the upcoming NMA course in Biarritz 25-27th May. We cover fees, travel and accommodation expenses. A great opportunity to connect with international researchers and participants from all over the world.
Interested to learn about Network Meta-analysis? Come and attend our 3-day course at Biarritz with @IanWhit25399993@TEvrenoglou@MetelliSilvia@AdrianiNikol !!
Registration opens on 15 January.
More info: https://t.co/b8Xz9SQi7N
@M_R_Hashan Thank you Mohammad! You can find more details about the data upload and accepted data formats in our tutorial, which is currently available here: https://t.co/mUCXi3zoZE
@wviechtb@eshackathon Thank you Wolfgang! The app is fully built in Python using Dash, which is a interactive framework from Plotly. I use the package 'rpy2' to connect Python to R and 'cytoscape' for the interactive network :)