« Pharmacologix », la #BD qui dépoussière la pharmacologie, coécrite par un professeur de #Limoges lepopulaire.fr/limoges-87000/… #pharmacie #santé

Core concepts in #pharmacoepidemiology: Violations of the positivity assumption in the causal analysis of observational data: Consequences and statistical approaches doi.org/10.1002/pds.53…

Randomized trials and observational studies are complementary—not competing—approaches to #causalinference. Here is an example of how #observational effect estimates were used for provisional decision making until #randomized estimates became available 👇 nejm.org/doi/full/10.10…

On the nature of informative presence bias in analyses of electronic health records #epidemiology journals.lww.com/epidem/Abstrac…

Help us fill knowledge gaps by joining our online workshop: Moving pregnancy #pharmacovigilance into the 21st century: #pregnancy cohorts, registries & safety monitoring. 25 January 11-13 CET! Sign up 👉 bit.ly/3ytQsTW @IMI_JU

Do-search: A Tool for Causal Inference and Study Design with Multiple Data Sources buff.ly/2VNPVJM

Simple examples to understand what confounders, colliders, mediators, and moderators are and how to "control for" variables in R with regression and propensity-score matching r-bloggers.com/2022/01/simple… via R-bloggers

Though the new user design with an active comparator is considered the gold standard it is often unfeasible to find a suitable comparator. This article summarises alternative designs.

So excited to finally be here in person. Looking forward to connect with all the best pharmacoepidemiologist in th world #ICPE22

Transparent communication about negative features of COVID-19 vaccines decreases acceptance but increases trust #ICPE22

The importance of the choice of the comparator in pregnancy drug safety research: using non-diseased individuals as comparators for adalimumab resulted in highly (!!!) biased risk estimators #ICPE22. A pretty nice illustration of indication bias.

Current situation and opportunities for improvement in the conduct and impact of EU regulatory mandated pregnancy studies #ICPE22

Propensity scores are widespread nowadays, they might be handy and somewhat fancy but they have their limitations #ICPE22

Cloning patients to address survival bias: when science fiction meets pharmacoepidemiology #ICPE22 The University of North Carolina at Chapel Hill

Grateful for the opportunity to present my PhD research on #DrugInteractions at #ICPE22. Received lots of interest & positive feedback! #Pharmacoepi #ICPE2022 #SystematicReview #EpiTwitter #RxTwitter #RStats #LoveIrishResearch We are now Research Ireland EMERGE SPHeRE

The new revision to the EMA guidance on the design and evaluation of risk minimisation measures establishes the real world data needs across the drug life cycle Evidera #ICPE22

Get Episheet, a free #epidemiology spreadsheet package that handles various epidemiologic analyses, including power calculations, exact confidence limits, rate standardization, seasonal analysis, P-value functions, meta-analysis, and more: rtihs.org/episheet

"It's going to protect YOU..." "It will reduce YOUR risk of a heart attack, cancer, diabetes etc". We see this all the time when it comes to medical treatments and health interventions. I'm going to show why 99.9% of the time this type of phrasing/framing ("YOU/R") is wrong🧵

1/ Our summary of #TargetTrial emulation is out. We illustrate it with another observational success: A survival benefit of #tocilizumab in critically ill #COVID19 patients was quantified using observational data before a randomized trial confirmed it 👇 jamanetwork.com/journals/jama/…

'Good epidemiologic questions are impactful and well-defined. An impactful question, if answered, would lead to knowledge that could inform action in the population it concerns' academic.oup.com/aje/article/19… via Maarten van Smeden