Noel Patson

Learn how PK and PBPK modeling complement clinical data to address safety for not only for breastfeeding women while ensuring equitable care and advancing regulatory success.  🔗 LAST CHANCE to register: certara.com/webinar/from-r…

📚 Statistical errors in meta-analyses can impact the reliability of systematic reviews. This new article highlights the most frequent mistakes and how to avoid them. 📖 Read it here: buff.ly/4jFoThH #SystematicReviews #MetaAnalysis #ResearchMethods #Statistics

Beginner or Advanced R User? 🤔 ➡️ This cheat sheet is gold. It summarizes all the best practices R developers should apply. If some of it isn’t familiar, the first module of my productive-r-workflow.com project explains exactly this! Thanks so much @_wurli 🙏 What's missing?

Join our webinar on PBPK Applications in MIDD and learn from industry leaders Karen Rowland Yeo, Eva Gil Berglund, Yuan Chen. Register: ow.ly/7zBu50TpgbQ 🗓 Oct 30, 2024 🕚 11:00 AM EST #ClinicalTrials #DrugDevelopment #PBPKModeling

You're invited to the 18th Kolokotrones Symposium! “Causal Inference for Population Mental Health" 📆Nov 15, 2024 ⏰10:30 AM – 3:00 PM ET 📍@HarvardChanSPH / online This event launches our collaborator, the Population Mental Health Lab. Register now: eventbrite.com/e/101662220337…

@IsabelPotani Congratulations Isabel.

Pleased to share Our recent study that shows that children receiving energy intakes higher than the WHO 2023 recommendations exhibit higher growth outcomes. Check out the article here: onlinelibrary.wiley.com/doi/10.1111/mc…

@GloryMuva Congratulations

Graduated🎓🥳!!!! It was an incredibly rewarding journey filled with growth, learning, and meaningful experiences. MSc Environmental Management and Sustainable Development completed. On to the next challenge! #lifelongstudent

Join our seminar with Dr Paul Newcombe on advanced methods to identify patient subgroups in clinical trials using machine learning and causal inference. 📅 16 July ⏰ 12:50 BST 📍LSHTM 🔗 bit.ly/3LiCdZf

I’m running for the presidency of @ASTMH because I’d like to support the society that has supported my efforts in Malawi since 1986. Read my statement: sherwood-astmh.informz.net/sherwood-astmh…

@joabchakhaza Congratulations Joab!

I would like to express my heartfelt gratitude to everyone who voted for me as the Most Professional Corporate and Ceremony MC of the year 2024 in the Consumer Choice Awards. Your support means a lot to me and I am truly humbled by this honor. Thank you all!!

Our fifth & final Key Topics in Causal Inference (KTCI) instructor is Eric Tchetgen Tchetgen of @Wharton @Penn! Eric provided our attendees with a modern overview of instrumental variables and related methods. #KTCI #2024CAUSALabcourses

@joabchakhaza Done. Wishing you all the best!

Voting ends today. Thanks for your support this far, if you still haven't voted please go on the site, register your email and vote for me as the Most Preferred MC of the Year under the Corporate and Business Professionals Category. l1nq.com/LHLmx

This is your regular reminder that the analysis of randomised experiments does not require all unknown confounders to be balanced. It make an allowance for the fact that they won't be. If we knew they were all balanced, the standard analysis would be wrong.

@stephensenn This is such a widespread misconception, I read things all the time like “arms were well balanced” and other obsession over balance. Thank you for this post and regular reminders, we need to make sure this is heard widely and frequently

Interested in building a foundation of #causalinference methodology? KTCI provides a roadmap to navigate the current causal research landscape and covers topics such as #gformula, inverse probability weighting & mediation analysis. Register for KTCI: causalab.sph.harvard.edu/courses/

@meredith_martyn @HakDehbi @tmorris_mrc Congratulations

Yesterday, I passed my PhD viva 🥳

#postdoc opening. Join us at the malaria research program @UMmedschool to help with our new projects on #malaria epidemiology and #climate health. Contact me ASAP if interested. Please RT and share widely!

I’m baffled & exasperated by the numbers doing statistical analysis who imagine that the patients in a clinical trial can be regarded as a random sample from the population defined by the inclusion criteria. Some heinous crime was committed in educating them.