Born Heavy Metal
Seattle
Joined November 2012
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Jon Wakefield retweeted
Work led by PhD students Qianyu Dong (qianyu313.github.io/qd33/), Yunhan Wu, Andrea Boskovic; and @jonwakeblue. ShinyApp version to come soon!
Jon Wakefield retweeted
And while on this thread, more📦news: check out the new functions in *survey* package on SAE created by Peter Gao: cran.r-project.org/web/packa… These are wrappers for similar functions in *SUMMER* package, but tailored to users familiar with survey package.
Jon Wakefield retweeted
@Yunhan_W & @jonwakeblue formalize a framework that accounts for urban/rural (U/R) 🏙️🏞️ stratification in unit-level SAE models based on household surveys
👉doi.org/10.1093/jrsssa/qnae0…
🧵
The paper on the WHO excess mortality methods is out: projecteuclid.org/journals/a… Thanks to my co-authors: @VictoriaKnutso, @aleshings, @ArielKarlinsky, William Msemburi. This is a snapshot of where we were, and the work continues...
Jon Wakefield retweeted
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.nature.com/articles/d41586-0…
Jon Wakefield retweeted
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. 🧵
Jon Wakefield retweeted
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. journals.sagepub.com/doi/ful…
In the supplement to the WHO Nature paper nature.com/articles/s41586-0… 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.
WHO Nature paper on excess mortality for 194 countries is out: nature.com/articles/s41586-0…
Jon Wakefield retweeted
Just a friendly reminder that the deadline to be fully considered for our Tenure-Track Assistant Professor position is today (10/24). apply.interfolio.com/110545
Apply to our Tenure-Track Assistant Professor position! Our deadline to be fully considered is October 24, 2022. See details here: apply.interfolio.com/110545
Jon Wakefield retweeted
@peteragao and I have a new paper on variance smoothing in small area estimation (SAE) arxiv.org/abs/2209.02602 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 retweeted
@Yunhan_W and I have a new paper on how to acknowledge urban/rural stratification in small area estimation: arxiv.org/abs/2209.10619
We estimate spatial HIV prevalence in women of age 15-49 in Malawi using the stratification/aggregation method we propose
Jon Wakefield retweeted
Katie Wilson & Jon Wakefield describe a computationally efficient model-based approach that allows summary birth history and full birth history data to be combined into analyses of under-5 mortality in a natural way. demographic-research.org/vol…
Jon Wakefield retweeted
The UN’s 2022 World Population Prospects #WPP2022 just released: population.un.org/wpp led by @Patrick_Gerland: World population to exceed 8B on November 15, India to overtake China in 2023. Probabilistic projections using our @UW group’s methods bayespop.csss.washington.edu…
Jon Wakefield retweeted
We are pleased to announce that International Biometric Society (IBS) will name Dr. Elizabeth Thompson an Honorary Life Member. See details here: bit.ly/3ytEaMV
I am teaching in the @UWBiostat summer institutes this summer. Bayesian Statistics with @KenRice41345951, Spatial Statistics with Lance Waller and Small Area Estimation. Full details here: si.biostat.washington.edu
if you're interested in attending
Jon Wakefield retweeted
@jonwakeblue talks to @saahilmenghani abt @MoHFW_INDIA 's bogus attempts to rubbish @WHO 's Covid mortality data for IND
The paper describing the method used to obtain WHO excess mortality estimates is here: faculty.washington.edu/jonno…
This is the revision of the submitted paper. Joint work with @VictoriaKnutso,@aleshings,@ArielKarlinsky and @willmsem Supplement is also at link
Jon Wakefield retweeted
Excellent @BBCMoreOrLess piece on WHO excess deaths, including interview with @jonwakeblue. On Germany and Sweden, acknowledges spline model is oversensitive to recent fluctuations and says baselines are being redone!
bbc.co.uk/sounds/play/w3ct3k…
