#StatisticsInMedicine - Twitter Hashtag

over 2 years ago

Hot off the press📖 #StatisticsInMedicine paper led by Thao Le @lpThao looking at novel approaches to handling missing data; using motivating data from the #ASPREE clinical trial

Le Phuong Thao @lpThao

over 2 years ago

Delighted to share our latest article addressing the challenge of handling missing disease status due to death when disease diagnosis requires two consecutive visits to define https://t.co/i14PpP0CMP Funded by @austrim_cre

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Jonny Broomfield @JonnyBroomfield

almost 3 years ago

📜Paper📜on rare disease natural history models published by @Wiley_Stats in #StatisticsinMedicine with @Crowther_MJ, @MJRutherford9, @KRAbrams, @SuzanneCFreeman and @NRLatimer. Read it here➡️ https://t.co/Zc76bDHFe3 Important to account for study heterogeneity! @UoL_Biostats

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Matthias Egger @eggersnsf

over 3 years ago

Various statistical and machine learning methods can be used to predict individualized treatment effects - this work with @oremiou et al. will be useful in evaluating the performance of competing models. Colossal privilege to be involved! #StatisticsInMedicine

eggersnsf's tweet photo. Various statistical and machine learning methods can be used to predict individualized treatment effects - this work with @oremiou et al. will be useful in evaluating the performance of competing models. Colossal privilege to be involved!
#StatisticsInMedicine https://t.co/nFiPxBuQKK

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WorldPopProject @WorldPopProject

almost 4 years ago

New #research led by @Chigedson - Conditional probability and ratio-based approaches for #mapping the coverage of multi-dose #vaccines - in @WileyGlobal #StatisticsInMedicine #ZeroDose #Vaccination #BayesianModel #NigeriaDHS https://t.co/MEAIieLHJj

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Wishart Node of The Metabolomics Innovation Centre @WishartNode

about 4 years ago

#Metabolomics #data is subjected to many methodological steps that can affect performance of resulting metabolomic classifiers. Check out our analysis of various approaches for predicting #renal #transplant rejection in #StatisticsInMedicine: https://t.co/W9ZW8Jcefl #kidney #TCMR

WishartNode's tweet photo. #Metabolomics #data is subjected to many methodological steps that can affect performance of resulting metabolomic classifiers. Check out our analysis of various approaches for predicting #renal #transplant rejection in #StatisticsInMedicine: https://t.co/W9ZW8Jcefl #kidney #TCMR https://t.co/3Z75lCZcE2

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David S. Wishart @WishartLab

about 4 years ago

#Metabolomics #data is subjected to many methodological steps that can affect performance of resulting metabolomic classifiers. Check out our analysis of various approaches for predicting #renal #transplant rejection in #StatisticsInMedicine: https://t.co/vYxzzPYUPW #kidney #TCMR

WishartLab's tweet photo. #Metabolomics #data is subjected to many methodological steps that can affect performance of resulting metabolomic classifiers. Check out our analysis of various approaches for predicting #renal #transplant rejection in #StatisticsInMedicine: https://t.co/vYxzzPYUPW #kidney #TCMR https://t.co/kGAapQzdDj

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Emanuele Monda @MondaEmanuele

about 4 years ago

Statistical software lover! What do you prefer? #StatisticsInMedicine #Statistics

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ViCBiostat @vicbiostat

almost 5 years ago

Two recent papers from our #missingdata group in #StatisticsinMedicine 👇 https://t.co/iuWDDJ0g2D https://t.co/cw3fPQaxw2 @RheannaMainzer @Katherine_J_Lee @_MargaritaMB

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Kostas Sechidis @sechidis

about 5 years ago

Our paper on using knockoffs for controlled predictive biomarker identification has just been published in Statistics in Medicine. Check it out: https://t.co/OG69N8SVIO #MachineLearning #StatisticsinMedicine #predictivebiomarkers

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Memorial Sloan Kettering Biostatistics Service @MSKBiostats

over 5 years ago

Join us for #MSKBiostats journal club on Wednesday! Andriy Derkach will lead a discussion of "Extending inferences from a randomized trial to a new target population" out in #StatisticsinMedicine this month! 🗓️April 21, 10:30am 📩[email protected]

MSKBiostats's tweet photo. Join us for #MSKBiostats journal club on Wednesday! Andriy Derkach will lead a discussion of "Extending inferences from a randomized trial to a new target population" out in #StatisticsinMedicine this month!

🗓️April 21, 10:30am
📩koppenar@mskcc.org https://t.co/sEK6WYULbe

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Ba @BLuizeti

over 5 years ago

I'm ready to write down the tips and tricks about how #WritingInTheSciences (for Non-native English Speakers) that @KristinSainani will give in today's webinar. #Statistics #StatisticsinMedicine

BLuizeti's tweet photo. I'm ready to write down the tips and tricks about how #WritingInTheSciences (for Non-native English Speakers) that @KristinSainani will give in today's webinar.
#Statistics #StatisticsinMedicine https://t.co/lMav1G4Ikj

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Health Services, Policy & Practice Department @BrownHSPP

about 6 years ago

Asst. Prof. @BrownHspp & @Brown_Epi Issa Dahabreh & founding member, Center for Evidence Synthesis in Health (CESH) @BrownEvSynth is lead author on paper in #StatisticsInMedicine w/ Jon Steingrimsson & PhD student @Sarah_E_Rob @BrownBiostats @Brown_SPH https://t.co/ahsbax5No2

BrownHSPP's tweet photo. Asst. Prof. @BrownHspp & @Brown_Epi Issa Dahabreh & founding member, Center for Evidence Synthesis in Health (CESH) @BrownEvSynth is lead author on paper in #StatisticsInMedicine w/ Jon Steingrimsson & PhD student @Sarah_E_Rob @BrownBiostats @Brown_SPH https://t.co/ahsbax5No2 https://t.co/PZyfAiPN6N

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Brown Biostatistics @BrownBiostats

about 6 years ago

#Biostatistics Jon Steingrimsson, @BrownHspp Issa Dahabreh and PhD student @Sarah_E_Rob and colleagues publish in #StatisticsInMedicine with a Tutorial in Biostatistics "Extending inferences from radomized trial to a new target population". @Brown_SPH @BrownUResearch @Wiley_Stats

BrownBiostats's tweet photo. #Biostatistics Jon Steingrimsson, @BrownHspp Issa Dahabreh and PhD student @Sarah_E_Rob and colleagues publish in #StatisticsInMedicine with a Tutorial in Biostatistics "Extending inferences from radomized trial to a new target population".
@Brown_SPH @BrownUResearch @Wiley_Stats https://t.co/1a7wIM9JTD

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Hanan Fahmy, MD, Ed.M, FASN @HIFahmy1

over 6 years ago

@Renaltubules Published a while ago but basic and comprehensive.#StatisticsinMedicine #BMJ. https://t.co/uJbXiJAb9o

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Oriana Ciani @OrianaCiani

over 6 years ago

#Surrogate relationships vary across treatment classes! This is an important #bayesian methodological extension to deal with this issue allowing for full or partial exchangeability of information across subgroups #statisticsinmedicine well done!@TPapanick @SBujkiewicz

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ICES @ICESOntario

almost 7 years ago

New @ICESOntario study in #StatisticsInMedicine by Peter Austin reviews use (and misuse) of time‐varying covariates in the Fine‐Gray subdistribution hazard competing risk regression model #methodology https://t.co/czKmBhYrUc