【latex版】水贴

The trashball effect; one little wrapper dropped in the street caught Jonathan Richman’s eye in the gathering litter. Faded by the rain, dried by the sun, he was entranced by its transmogrified colouration. Corroded, cruddy little thing, full of dirt and grit, but colours like that you just can’t git. Must have been one of Owsley’s. In Chewing Gum Wrapper, Jojo wants to take it home, save it from the dump. Hope he did, because badness starts small.

一快崩溃了的散户如是说：大盘就像*****的疯子一样举着一把菜刀把我追到胡同的角落，我正准备投降了，然后大盘把菜刀递给我说该你追我了

VR 这东西，你必须要体验过才会知道它的有趣之处。

We consider in this article testing rare variants by environment interactions in sequencing association studies. Current methods for studying the association of rare variants with traits cannot be readily applied for testing for rare variants by environment interactions, as these methods do not effectively control for the main effects of rare variants, leading to unstable results and/or inflated Type 1 error rates. We will first analytically study the bias of the use of conventional burden-based tests for rare variants by environment interactions, and show the tests can often be invalid and result in inflated Type 1 error rates. To overcome these difficulties, we develop the interaction sequence kernel association test (iSKAT) for assessing rare variants by environment interactions. The proposed test iSKAT is optimal in a class of variance component tests and is powerful and robust to the proportion of variants in a gene that interact with environment and the signs of the effects. This test properly controls for the main effects of the rare variants using weighted ridge regression while adjusting for covariates. We demonstrate the performance of iSKAT using simulation studies and illustrate its application by analysis of a candidate gene sequencing study of plasma adiponectin levels.

Bayesian Analysis with Stata by John Thompson is the first comprehensive guide to employing Bayesian methods using Stata statistical software. Stata is one of the most comprehensive commercial statistical software packages on the market, but it has not developed MCMC, Metropolis–Hastings, Gibbs Sampler or other related Bayesian software as part of the official commercial package. It is not difficult to write Stata algorithms to implement basic Bayesian methods, and several programmers have performed just this in the past. However, until this book, there has been no unified presentation of how to implement Bayesian methods using Stata.

Bayesian Analysis with Stata was written for readers with little to no background in using Bayesian statistics, as well as for those having a rather extensive understanding of Bayesian methods, but who want to use Stata to implement these methods in their research. The book is not, however, for those with little experience in programming with Stata or for those without a solid background in statistical inference and probability. The author provides instruction in these areas, but it is assumed that the reader already has a fair understanding of them.

Testing a sequence of pre-ordered hypotheses to decide which of these can be rejected or accepted while controlling the familywise error rate (FWER) is of importance in many scientific studies such as clinical trials. In this paper, we first introduce a generalized fixed sequence procedure whose critical values are defined by using a function of the numbers of rejections and acceptances, and which allows follow-up hypotheses to be tested even if some earlier hypotheses are not rejected. We then construct the least favorable configuration for this generalized fixed sequence procedure and present a sufficient condition for the FWER control under arbitrary dependence. Based on the condition, we develop three new generalized fixed sequence procedures controlling the FWER under arbitrary dependence. We also prove that each generalized fixed sequence procedure can be described as a specific closed testing procedure. Through simulation studies and a clinical trial example, we compare the power performance of these proposed procedures with those of the existing FWER controlling procedures. Finally, when the pairwise joint distributions of the true null p-values are known, we further improve these procedures by incorporating pairwise correlation information while maintaining the control of the FWER.

很庆幸自己躲过这次股灾，总结原因有两点。第一，我认真分析了收益风险比，研究了大盘走势与各路资金计划，加上市场信心以及努力学习了马克思的巨著资本论和社会主义市场经济理论，而且做事沉着冷静理智不易受到诱惑。第二，没钱。

同学聚会:有人吹500万被套了，有人说拿2000万补仓了，还有人感叹老婆6000万基金赔了，一同学打电话给其父:老爸，别打高尔夫了，你把沪指拉起来吧，我同学都赔钱了！班花坐不住了，掏出手机:干爹，降息0.25，吃点饭都她娘不踏实。老板娘进来了:别tm吹了，我们饭店手机没信号，五碗拉面，谁给钱？

回想从毕业到工作这么多年，从一开始什么都没有，到30万，从30万到200万，从200万到500万、800万，最后到现在的1300万…… 这不是炫耀，我只是想通过我自己的经历告诉朋友们：手机像素越来越高了。