The Japan Cancer Society is urging people to get screened for cancer as soon as possible after reporting Saturday that screenings fell around 30% in 2020 from the previous year. The drop may have been due to the many medical checkups that were canceled due to the spread of the coronavirus, with many people refraining from visiting doctors amid the pandemic. The Tokyo-based society is calling on people to receive cancer screenings at an early date, saying estimates based on the size of the decrease of screening recipients and cancer detection rates show that some 1,000 to 2,100 people may have undetected cases of the disease. The society asked its 42 branches across the country to report the number of recipients of cancer screenings offered by local governments and received valid answers from 32 branches in February and March this year. The survey found that the number of people who received screenings for stomach, lung, bowel, breast and cervical cancers in 2020 fell some 30.5% from 5,670,796 in 2019 to 3,941,491.
With the rapid advancement of computing power and technology, high-dimensional data become ubiquitous in many disciplines such as genomics, image analysis, and tomography. With high-dimensional data, the number of variables p could be much larger than the sample size n. What makes statistical inference possible is the sparsity assumption, which assumes only a few variables have contributions to the response. Under this sparsity assumption, there has been a rich literature on the topic of variable selection, including LASSO (Tibshirani, 1996), SCAD (Fan and Li, 2001), elastic net (Zou and Hastie, 2005), and MCP (Zhang, 2010). Despite of the success of these methods in many applications, for the ultra-high dimensional scenario where the dimension p grows exponentially with n, they may not work well due to the "curse of dimensionality" in terms of simultaneous challenges to computational expediency, statistical accuracy, and algorithmic stability (Fan and Lv, 2008).
Following the massive success of their women-only screenings of Wonder Woman, the theater has announced a special clown-only screening of Stephen King's It. SEE ALSO: Alamo Drafthouse announces a women-only screening of'Wonder Woman' and of course men are upset The event will be preceded by a pre-party at the Barrel O' Fun – Alamo Drafthouse Austin's carnival-themed bar – that includes face-painting, a photo booth, a raffle, and other cool, fun, definitely not at all terrifying activities. As of now, the clown-only It screening is only planned for the chain's Austin location. But hey, those all-female Wonder Woman screenings started with plans for a single showing in Austin, before widespread demand convinced the company to roll them out with other locations. If the clown community rallies, maybe the same thing will happen to It. Did you think the Drafthouse was kidding, Ryan?