http://blog.sina.com.cn/s/blog_41889b900101ipal.html
流行病学资料常用分析方法总结图
楼主: webgu
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[学习分享] 流行病学资料常用分析方法总结-基于SAS实现 |
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回帖推荐我喜欢阅读其手册.也未必用的多.some thoughts here:
(1) fmm: people talk a lot about zero inflatedmodel, in fact, it is a mixture of Poisson and constant
(2)mcmc: in proc genmod, lifetest, etc, Bayesian were used. but the 'real' Bayesianwas from mcmc
(3)optmodel: from OR product. Many optimization algorithms were explained in thisdoc.
Jingju
Very good summary, thanks!
Based on my experience from my work, I would rank the first 20 procedures (statistics related) in the frequency of usage as following:
[*]proc univariate
[*]proc freq
[*]proc means
[*]proc genmod
[*]proc npar1way
[*]proc glm
[*]proc lifetest
[*]proc glimmix
[*]proc phreg
[*]proc mixed
[*]proc logistic
[*]proc nlmixed
[*]proc corr
[*]proc ttest
[*]pr ...
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SAS资源
1. SAS 微信:StatsThinking 2. SAS QQ群:348941365 |
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寒冰凤凰 My blog: http://blog.sina.com.cn/u/1058955485
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SAS资源
1. SAS 微信:StatsThinking 2. SAS QQ群:348941365 |
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SAS资源
1. SAS 微信:StatsThinking 2. SAS QQ群:348941365 |
|
SAS资源
1. SAS 微信:StatsThinking 2. SAS QQ群:348941365 |
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