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!
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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.
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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…
🧵
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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...
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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…
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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. 🧵
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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…
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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.
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WHO Nature paper on excess mortality for 194 countries is out: nature.com/articles/s41586-0…
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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
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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
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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
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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…
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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…
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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
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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
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Jon Wakefield retweeted
@jonwakeblue talks to @saahilmenghani abt @MoHFW_INDIA 's bogus attempts to rubbish @WHO 's Covid mortality data for IND
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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
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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…
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