Konstantina Chalkou (@KChalkou) header
Konstantina Chalkou (@KChalkou) profile picture

Evidence synthesis in health care

Berne, Switzerland
Joined November 2014
Photo by Konstantina Chalkou (@KChalkou)Photo by Konstantina Chalkou (@KChalkou)Photo by Konstantina Chalkou (@KChalkou)Photo by Konstantina Chalkou (@KChalkou)
Join us in the network meta-analysis course - from key concepts to advanced methods - with hands-on training in R! In the ISCB conference (Basel, Switzerland) in August. #iscbconference #iscb2025 iscb2025.info/courses.html#n…
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Konstantina Chalkou retweeted
Interested in developing a clinical prediction model? Check out our new paper 🥳🥳🥳 in the @bmj_latest where we present a step-by-step guide bmj.com/content/386/bmj-2023… Together with @eggersnsf @Geointheworld @KChalkou @TPA_Debray. Special thanks to @Richard_D_Riley for his help!
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Konstantina Chalkou retweeted
NEW PAPER A two pager with 5 criteria to evaluate prediction models, in particular those based on AI doi.org/10.1093/eurheartj/eh…
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Konstantina Chalkou retweeted
Very excited to announce the launch of a new study on #fermented foods on a European scale. We invite you to participate and share w/ friends, family & colleagues! CLICK here lnkd.in/e-xRPsdw or SCAN the QR code below #nutrition #diet #foodfrequency linkedin.com/posts/activity-…
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Konstantina Chalkou retweeted
Just published our study applying a 2-stage model based on individual participant data meta-analysis. We examined patient-specific treatment effects of adding biologics to conventional rheumatoid arthritis treatment.@KChalkou @funada_satoshi @Geointheworld @Toshi_FRKW
Meta-analysis: The benefit of adding biologics to conventional rheumatoid arthritis treatment is uncertain for specific patients, and the interactive application based on a 2-stage model may help with treatment selection in practice. ja.ma/3PB8D4w
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Konstantina Chalkou retweeted
This recent HTx study, co-authored by experts at @unibern and @CHEyork (@UniOfYork), describes a cross-network meta-analysis (#NMA)/ network meta-regression (#NMR) model that enables cross-design and cross-format synthesis.
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Our paper as one of the top Statistics in Medicine downloaded papers for 2021! Many thanks again to all co-authors for this nice work and great collaboration! @Geointheworld, @amancayork, Fabio Pellegrini @ESteyerberg & @eggersnsf under @HTx_H2020 #statistics #medicine
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Konstantina Chalkou retweeted
NEW: A novel extension of decision curve analysis that allows the evaluation of personalized prediction models for treatment benefit & more! @KChalkou @VickersBiostats @amancayork @Geointheworld @HTx_H2020 @EU_H2020 #HTx_H2020 #H2020 bit.ly/3QwiOWF
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Konstantina Chalkou retweeted
Bertalan Németh y Konstantina Chalkou @KChalkou nos hablan sobre inteligencia artificial para la predicción de respuesta a tratamientos y el valor añadido de las herramientas tecnológicas de salud. @eumsplatform
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Konstantina Chalkou retweeted
HTx General Assembly - 2022 The first in-person general assembly since the COVID-19 pandemic opened today in Budapest, Hungary.
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4th HTx General Assembly (face-to-face again :) ) @HTx_H2020 #HTx_H2020 #H2020 – at Budapest, Hungary
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Konstantina Chalkou retweeted
We are looking for more people to join the @MH_COVID crowd! Please share widely and contact me if you need more information! powtoon.com/s/clrL2BTNZm7/1/…
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Konstantina Chalkou retweeted
👏 👏 time to head to the kiosk!
Gleich zwei Forschende des #NRP78 im Porträt der Schweizer Familie: Erfahren Sie mehr über @geointheworld und @StevePascolo und wie sie den Forschungsalltag erleben. nfp78.ch @snf_ch
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Friday = free IPD meta-analysis advice day. I call it frIPDay (yes, really) #1 examining treatment-covariate interactions in a 1-stage model is dangerous ... simply including an interaction term merges within-trial & across-trial relationships, which may distort results
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ROB-MEN tool is now available! Congrats to all for this amazing tool in NMA
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#GHS_Symposium #GHS A perfect presentation by Michael Seo for "Developing prediction models when there are systematically missing predictors on an IPD Meta-analysis"
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