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Here's a bunch of Stata tips for handling large datasets (millions of observations). I wish I knew them when I was starting with admin data analysis...

🚨 Curious about recent advances on applied micro methods 🤓? I'm sharing a doc that I've put together and that lists a bunch of papers such advances. Suggestions are welcome! 🚨 👉 christinecai.github.io/PublicGoods/ap… 👈 #EconTwitter #PublicGoods #AppliedMicro #Econometrics

Our systematic review and meta-analysis on the volume-outcome relationship for PCI has been published in HRB Open Research hrbopenresearch.org/articles/4-10/… Looking forward to receiving peer review of our work.

It's fully-featured and ready to go! The did Stata package allows Stata access to the Callaway and Pedro H. C. Sant'Anna R package "did" for estimating difference-in-differences with staggered treatment and covariates. Check it out, and installation instructions, at github.com/NickCH-K/did

#drdid update on #Stata implementation: Its done. I will do some more testing and convert it into some usable form. Doing a full package will take time but I will put online in a week or so. Pedro H. C. Sant'Anna scott cunningham Nick HK

Okay, so this Stata tip is a big deal for admin data workflows: As of version 16, Stata allows you to hold 𝗺𝘂𝗹𝘁𝗶𝗽𝗹𝗲 𝗱𝗮𝘁𝗮𝘀𝗲𝘁𝘀 𝗶𝗻 𝗺𝗲𝗺𝗼𝗿𝘆 𝗮𝘁 𝗼𝗻𝗰𝗲. This is done using the command 'frame': sysuse auto, clear frame create fr1 frame fr1: sysuse bplong

NEW: people worry when they hear "40% of hospitalisations are fully vaxxed", but this chart shows that's actually good news. The more people you vaccinate, the higher their share of hospitalisations, but the *total* number in hospital is a fraction of what it would otherwise be

In case you're interested, I wrote a bunch of visualization programs tailored for admin data analysis in Stata. github.com/jankabatek/sta… The syntax is a bit quirky, but the code is fast and efficient, requiring little time and memory compared to Stata's native graphing commands.

The Omnicron variant is just another example of how COVID will be prolonged if rich nations and Big Pharma keep blocking vaccine distribution.

#EconTwitter Public Good Alert: I have created an online course in #causalinference (my 2020 lockdown project). The course is based on Mostly Harmless Econometrics and scott cunningham 's Mixtape, and covers basics of canonical research designs (IV, RDD, DiD, SC) 1/2

Good times had today at our end of year celebration at the Zoo!

Planning a short video for students on how filepaths work. Planning to include: 1. Filepaths on your computer vs. URLs on the internet 2. Relative vs. absolute filepaths 3. Working directories 4. Filepaths in your code 5. Navigating folders with ../ etc. Anything I should add?

#PrecisionMedicine may offer improved Tx options tailored for the individual patient – but what are the challenges of #HEOR? The @nuigalway ISPOR student chapter & ISPOR Victoria and Tasmania Student Chapter will hold a #free webinar on 22Feb to discuss this in the context of #Ireland & #Australia Register👇

Patrick McHale of #novartis giving us an overview of gene therapies. So far this #webinar on 'The Challenges of Precision Medicine' has given so much food for thought! ISPOR Victoria and Tasmania Student Chapter @HealthEconNUIG #genetherapy #Pharmaceuticals

If for no other reason, this is why you must not vote the Liberal Party back into power: “In a single line item [in the latest budget], the Morrison government defunded Australia’s national prescribing service, NPS MedicineWise (NPS). /2

🚨Publication 🚨 We contacted almost every pharmacy in Ireland asking for prices of commonly prescribed drugs and found: -Large variation in prices: top 10% most expensive pharmacies can be over 2x more expensive than the 10% cheapest pharmacies 💊💊💊 sciencedirect.com/science/articl…

Together we competed in today's #3MT Monash Business School round and they were all amazing 🙌 I am also humbled and grateful to have been chosen the winner of this round 🙈😅 So thankful to my supervisors and PhD friends Centre for Health Economics-Monash Business School for helping me practice ❤️❤️❤️

Here is a decent summary of the advantages and disadvantages of many tools in causal inference (taken from Valentelyte et al. (2021) #econtwitter cc. scott cunningham Angus “burnt ends" Grier 🦧🍄🚀🥃 Gary A. Wagner link.springer.com/article/10.118…

IMO, this article should be mandatory reading for every first year graduate student in any field that makes use of statistics. It short provides necessary context for almost **every quantitative article** you will read in the social sciences. academic.oup.com/aje/article/17…