How is hospital bed occupancy related to mortality rates? A new study by @msimoninfo @NursingUnibas provides important insights. 🧵👇1/7
https://t.co/6pdnxNIu6s
📊 We explored time-varying exposures and confounders and fitted a marginal structural model to estimate the causal effect from the Swiss hospital population🇨🇭.
📣 📣 Check our #causalinference paper on the effect of time-varying capacity utilization on 14-day in-hospital mortality... together with @msimoninfo @a_randomwalker@DietmarAusserho, @NursingUnibas 🎉 🎉
Find out more: https://t.co/qYqpDDVT2w
At the Swiss Statistics Society 2021 meeting in Lugano
@swissstatistics @msimoninfo @a_randomwalker @NursingUnibas
Presented our poster, causal effect of capacity utilization!
The Swiss #Statistics Meeting 2021 will start on Monday 6th September #SST21. This time, the host is the city of Lugano. The summit of statistical experts will focus on the motto of the 2030 Agenda: “Leaving no one behind”. @Road2Bern
https://t.co/PHRWHqkvum
Obviously, plenty of variation, but how does this affect patients? We will take a closer look at it in the third paper with a causal inference perspective, which is currently under review… to be continued!
Exploring daily care demand longitudinally in Swiss hospitals🇨🇭. My second PhD paper is published with @msimoninfo @DietmarAusserho @NursingUnibas.
Find out more:
https://t.co/GAZnYl1vzO
The mean daily patient turnover ranged between 22.5% and 34.5%... doesn’t that sound much? Well, for the median university hospital with 988 beds it would mean 222 patients admitted or discharged
The #IntroToDags from @ukrepro is at 2pm-4pm (UK time) today.
We currently have 577 people signed up. I have to confess, I'm feeling a little nervous. And hoping my Internet doesn't decide to 'go to sleep'! 🤣
#EpiTwitter#StatsTwitter#CausalTwitter
https://t.co/SVDqdc9wpe
Check my first PhD article on “Comparing Charlson and Elixhauser comorbidity indices with different weights…”
We derived, validated and compared different comorbidity weights using a six-year patient population from Switzerland 🇨🇭.
Find out more: https://t.co/OniKwPzjM0
My first PhD paper is out 🥳! We evaluated nursing home quality indicators with ICCs and rankability: the results showed variability 📊 beyond chance between nursing homes. Why is variability important? Find out more ➡️ https://t.co/F8ZyR0MOkk @IJERPH_MDPI 1/2
2 years, 250 pages, 1,219 commits, and 78,480 words:
I am very proud to say that today I published the 1st edition of "Interpretable Machine Learning". 🎉🎉🎉
Web: https://t.co/s4tyZz3f3B
Leanpub: https://t.co/OAIEB1YNzR
Through our recent work, we would like to offer some insights on using causal language in academic publications. This could be useful for authors and readers, as well as for journal editors and reviewers.
https://t.co/fcQoQ8lckv
"Better-trained nursing staff save lives and save hundreds of millions of francs"
"Skilled nurses prevent many deaths"
Facts from our analysis (one-year routine hospital data of Switzerland) for SBK in daily newspapers!
https://t.co/VfITRDi4u3
https://t.co/fVUpgmggJG
The INSPIRE team @NursingUnibas is recruiting a PhD student for double degree @KU_Leuven and @UniBasel_en as part of the @TransSenior program. More info: https://t.co/7cl7ugyGVV