s******s 发帖数: 13035 | 1 你自己读过么? 不要乱夹杂私货.
文章里面result就两个结果.
1) 多代喂养表明没有区别. 唯一的区别是第四代的母鼠后代减少了,
不过同时喂养非转基因玉米的也减少了----结论, 啥也不说明, 实验
条件有问题.
2) 连续喂养第三第四代的后代总数和重量降低, 但是后代存活率却
提高了.
我总结一下, 这个研究完全瞎做, 一个兽医完全不懂统计就乱分析.
整个实验首先sample size太小, 更重要的是作者竟然分开来N个pair-
wise comparison: 2种性别*4代*3个参数(数量, 重量, 存活率)*数种
不同喂养方法, 这样得出的statitical significance更本都是垃圾 |
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s******t 发帖数: 12883 | 2 I know bio postdocs who goes to big pharmacutical companies and
earn more than 18w USD a year. Most can earn at least 9w USD.
I also know some of them started their own companies in US after
working a few years in company.
Also bernett was bio postdoc before, right? She changed to patent
lawyer.
I also know some bio major people change to CS, statitics, Finance,
realtor, ... |
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l*******p 发帖数: 24 | 3 Hi, can someone tell me where can i get the daily NYSE volume statitics. And
which charting tool would provide that? thank you |
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m******p 发帖数: 5393 | 5 生拉硬扯扯到biostatistics=> statitics => data anlyst .... |
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c****s 发帖数: 5892 | 6 原油价格下跌,经济数据低于预期结果,央行采取进一步举措的可能性增加。周一,加元走低。
加拿大统计局(Statitics Canada)报告称,加拿大二月份准许动工建筑额远远低于15.9%的预测。这将促使央行进一步降低利率(目前0.5%的利率已经创史上最低记录),或采用非传统方法放松借贷环境,而这种方法有时候就是指所谓的扩大货币发行量(quantitative easing)。满地可资本市场(BMO Capital Markets)首席经济师Michael Gregory指出,"quantitative easing"实际上就是打开印钞机"造钱"。
上周,央行行长卡尼(Mark Carney)在演讲中反复强调他或将于4月23日推出信贷措施和"quantitative easing"政策框架。分析师认为,卡尼将通过印钞来购买债券。
周一,多伦多股市在连续四周上升后走低,加元兑美元从周五的1.2304加元,或81.27美分下降至1.2385加元,或80.74美分。
加拿大国债价格走低。两年期国债收于100.22元,降1.145%;十年期国债下降60分,收于106.55元,降幅达2.995%; |
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s******1 发帖数: 239 | 7 来自主题: PoliticalScience版 - 介绍本新书 Yes, methodology is a tool and the more crucial thing is idea, or insight /
theoretical proposition.
But it seems that political science is always slow in updating methods.
Economics is already taking experimental design as a frontier (behavioral
economics?), but in political science, game theory and statitical regression
are still regarded as THE Best methods.Maybe the next step is experimental
design. Michael Tomz is doing an interesting paper on audience cost in
international relations from |
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s*****i 发帖数: 62 | 8 Any one has comments on career opportunities in these two very different
companies.
Merck is a clinical stat on Heart Disease.
Pioneer is a molecular breeding statitics postion.
Which one is more stable and career path.
Welcome comments. |
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i*****y 发帖数: 126 | 9 Prof. 让google一篇,读完做总结。
search了半天,找不到。求助~~ |
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l**********o 发帖数: 9952 | 10 我没怎么学过statitics,可能问题很傻,但现在没人可以问,大包子请教(有答就有包子,答的多答的好的包子大):
我有一组8个数据,say (1.00,1.05,1.10,0.97,0.82,1.03,0.99,0.95)
我想做power analysis, to calculate the required sample size to detect a 10% change (is this termed as effect size?) with 95% confidence (is this termed as significance criterion?) with power of 0.8 (is this usually just fixed at 0.8?)
说得也许不清楚,换言之,我这8个是已测量的normal group,是一个group里的,用来作为normal mean and standard deviation 这些标准的.
We want to determine the number of patients and controls (assumi... 阅读全帖 |
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v******i 发帖数: 1246 | 11 学校里往外跳是很难的
因为学校的经验不算industry experience
你只能说自己有什么 * yrs sas programmer/statitical analysis experience
并且从non-profit h1b跳出去身份会有很大限制
不过还是看人的啦
我知道不少人跳出去的
大不了就是去和fresh MS竞争同样的职位
paid |
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发帖数: 1 | 13
data science专业我个人觉得很坑,就是把一些科目混在一起,还不如专门读CS或
Statitics,然后跨学院选几门选修课
没有打算phd做研究,时间耗不起,也没那个智力开发新算法,只想熟练理解透现成的算
法就可以了.所以如果二选一的话,您觉得CS,Statistics哪个更好一些呢 |
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发帖数: 1 | 14 一般bioinformatics老板,如果不是计算大牛,都是要报wet lab大牛大腿的。
我就是大牛MD老板,我觉得因为很牛所以当时觉得跟着他混学术因为很不错。
但现实压根不是如此,根本没时间照顾学生。天天搞政治。
本来答应好做pure dry work的,最后被老板忽悠着根据计算结果做实验。
但问题是,如果我申请postdoc的时候,以我现在半吊子的水平,能申请到pure dry
lab吗?
如果跟着一个很不牛的dry lab的老板,是否对于申请绿卡有影响?是否跟着大牛wet老
板才能容易拿到绿卡?
或者还是,先忍一忍,赶紧拿到绿卡,干脆辞职坐在家里专心学statitics |
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发帖数: 1 | 15 一般bioinformatics老板,如果不是计算大牛,都是要报wet lab大牛大腿的。
我就是大牛MD老板,我觉得因为很牛所以当时觉得跟着他混学术因为很不错。
但现实压根不是如此,根本没时间照顾学生。天天搞政治。
本来答应好做pure dry work的,最后被老板忽悠着根据计算结果做实验。
但问题是,如果我申请postdoc的时候,以我现在半吊子的水平,能申请到pure dry
lab吗?
如果跟着一个很不牛的dry lab的老板,是否对于申请绿卡有影响?是否跟着大牛wet老
板才能容易拿到绿卡?
或者还是,先忍一忍,赶紧拿到绿卡,干脆辞职坐在家里专心学statitics |
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