Jon Wakefield

Born Heavy Metal

[Zehang Richard Li @z_richard_li]

Work led by PhD students Qianyu Dong (https://t.co/topX1oZFxi), Yunhan Wu, Andrea Boskovic; and @jonwakeblue. ShinyApp version to come soon!

[Zehang Richard Li @z_richard_li]

And while on this thread, more📦news: check out the new functions in *survey* package on SAE created by Peter Gao: https://t.co/HGZLPLR9La These are wrappers for similar functions in *SUMMER* package, but tailored to users familiar with survey package.

[Journal of the Royal Statistical Society: Series A @JRSS_A]

@Yunhan_W & @jonwakeblue formalize a framework that accounts for urban/rural (U/R) 🏙️🏞️ stratification in unit-level SAE models based on household surveys

👉https://t.co/eP01D1RGJA

🧵

[Jon Wakefield @jonwakeblue]

The paper on the WHO excess mortality methods is out: https://t.co/Ljz5tNy46h Thanks to my co-authors: @VictoriaKnutso, @aleshings, @ArielKarlinsky, William Msemburi. This is a snapshot of where we were, and the work continues...

[Jonas Schöley @jschoeley]

Global estimation is a massive task – bugs will happen. So the question is, do you have a culture that allows you to publicly admit and correct mistakes. The WHO team under @jonwakeblue had this culture. The IHME, in this instance, had not.https://t.co/7dlZHmSAtc

[Jonas Schöley @jschoeley]

Finally, Lancet published 5(!) letters of concern on the reliability of IHME's excess death estimates. Mistakes happen, but while flawed WHO estimates were publicly admitted & corrected within days, IHME dragged their feet for 10 months and still doesn't own the problems. 🧵

[MPIDR @MPIDRnews]

While on a summer visit at our Institute @YahsiaoYuan and @lee_fiorio started to work on a recently published paper co-authored by Jonathan Wakefield @UW and our Director @ezagheni. They propose a new method to combine digital data and official statistics. https://t.co/ksS1FpcBUB

[Jon Wakefield @jonwakeblue]

@RickCrawf Yes. Lots of caveats accompany ranking exercise (as we discuss), but the analysis does tell us something...

[Jon Wakefield @jonwakeblue]

In the supplement to the WHO Nature paper https://t.co/t5NP80lMgf we examine the relative excess mortality rate of the UK, as compared to 27 EU countries, by month. This in response to intense political debate, as we discuss.

[Jon Wakefield @jonwakeblue]

@valmacsee Thanks Valerie! And Merry Christmas and a happy new year to you!

[Jon Wakefield @jonwakeblue]

WHO Nature paper on excess mortality for 194 countries is out: https://t.co/t5NP80lMgf

[Jon Wakefield @jonwakeblue]

@notcapnamerica Preen spirit

[UW Statistics @UWStat]

Just a friendly reminder that the deadline to be fully considered for our Tenure-Track Assistant Professor position is today (10/24). https://t.co/nBgferPALq

[Jon Wakefield @jonwakeblue]

@peteragao and I have a new paper on variance smoothing in small area estimation (SAE) https://t.co/3Bsn0iu5RL The models we propose should allow more widespread use of robust SAE models, particularly in the context of health indicators in low and middle income countries

[Jon Wakefield @jonwakeblue]

@Yunhan_W and I have a new paper on how to acknowledge urban/rural stratification in small area estimation: https://t.co/aoMYHdPlnI
We estimate spatial HIV prevalence in women of age 15-49 in Malawi using the stratification/aggregation method we propose

[Jon Wakefield @jonwakeblue]

@Sondreus @AlexSelbyB Well done Sondre! Very impressive work

[Jon Wakefield @jonwakeblue]

@Yunhan_W and I have a new paper on how to acknowledge urban/rural stratification in small area estimation: https://t.co/aoMYHdPlnI
We estimate spatial HIV prevalence in women of age 15-49 in Malawi using the stratification/aggregation method we propose

[Jon Wakefield @jonwakeblue]

@ConnorGascoigne @TheresaRSmith @JulianFaraway Well done Connor!!!! And congratulations Theresa also!!!

[Jon Wakefield @jonwakeblue]

@peteragao and I have a new paper on variance smoothing in small area estimation (SAE) https://t.co/3Bsn0iu5RL The models we propose should allow more widespread use of robust SAE models, particularly in the context of health indicators in low and middle income countries