3 ms·
There have been a number of studies (e.g. [1], [2], [3]) published estimating how many years of life have been lost to COVID-19. The estimates vary between ~10-
by CrazyStat 5y ago
There have been a number of studies (e.g. [1], [2], [3]) published estimating how many years of life have been lost to COVID-19. The estimates vary between ~10-15 average years lost per COVID death.
[1] https://www.nature.com/articles/s41598-021-83040-3 https://www.nature.com/articles/s41598-021-83040-3
[2] https://www.news-medical.net/news/20201021/More-than-25-million-person-years-of-life-lost-in-US-due-to-COVID-19.aspx https://www.news-medical.net/news/20201021/More-than-25-mill...
[3] https://www.sciencedaily.com/releases/2020/09/200923124557.htm https://www.sciencedaily.com/releases/2020/09/200923124557.h...
- froh 5y agothank you for these! two us centric and one global, same results! I can't resist: males of america! you are the the victims, the "loss leaders" of the plague: > We find that over 20.5 million years of life have been lost to COVID-19 globally. As of January 6, 2021, YLL in heavily affected countries are 2–9 times the average seasonal influenza; three quarters of the YLL result from deaths in ages below 75 and almost a third from deaths below 55; and men have lost 45% more life years than women. let that sink in: > men have lost 45% more life years than women. mask up! vaccine up! and don't let them mn-killers tell you otherwise. /scnr
- iamcreasy 5y ago[Sorry for posting here. The other thread was flagged and subsequently closed] Can you suggest me an advanced Bayesian Statistics book that focuses on application without sacrificing too much mathematical rigor? I am graduating in MS in Stat. I've took a Bayesian Stat course that followed Statistical Rethinking by Richard McElreath. I liked this book because the author appeals to intuition instead of mathematical rigor. I took 2 semester long statistical inference course, so I am ready for some advance material.
- CrazyStat 5y agoBayesian Data Analysis by Gelman et al. There's a free PDF available on Gelman's website [1]. Definitely application-focused, and the authors are a who's-who of contemporary Bayesian statisticians. [1] http://www.stat.columbia.edu/~gelman/book/ http://www.stat.columbia.edu/~gelman/book/
- iamcreasy 5y agoThanks! I'll check it out.