注册 登录  
 加关注
   显示下一条  |  关闭
温馨提示!由于新浪微博认证机制调整,您的新浪微博帐号绑定已过期,请重新绑定!立即重新绑定新浪微博》  |  关闭

Bioinformatics home

 
 
 

日志

 
 

how to choose correct statistics methods 2  

2011-11-22 03:29:02|  分类: 生物信息编程 |  标签: |举报 |字号 订阅

  下载LOFTER 我的照片书  |

 

 

Number of
Dependent
Variables

Nature of  
Independent 
Variables

Nature of Dependent 
Variable(s)

Test(s)

1

 0 IVs 
(1 population)

interval & normal

one-sample t-test

ordinal or interval

one-sample median

categorical
 (2 categories)

binomial test

categorical

 Chi-square goodness-of-fit

 1 IV with 2 levels 
(independent groups)

interval & normal

2 independent sample t-test

 ordinal or interval

Wilcoxon-Mann Whitney test

 categorical

 Chi- square test

Fisher's exact test

1 IV with 2 or more levels (independent groups)

interval & normal

one-way ANOVA

ordinal or interval

Kruskal Wallis

categorical

Chi- square test

1 IV with 2 levels
(dependent/matched groups)

interval & normal

paired t-test 

 ordinal or interval

Wilcoxon signed ranks test 

 categorical

McNemar

1 IV with 2 or more levels
(dependent/matched groups)

interval & normal

one-way repeated measures ANOVA

ordinal or interval

Friedman test

categorical

repeated measures logistic regression

2 or more IVs 
(independent groups)

interval & normal

factorial ANOVA

ordinal or interval

ordered logistic regression

categorical

factorial 
logistic regression

1 interval IV

interval & normal

correlation 

simple linear regression

ordinal or interval

 non-parametric correlation

categorical

simple logistic regression

1 or more interval IVs and/or
1 or more categorical IVs

interval & normal

multiple regression

analysis of covariance

categorical

multiple logistic regression

discriminant analysis

2 or more

1 IV with 2 or more levels
(independent groups)

interval & normal

one-way MANOVA

2 or more

2 or more

interval & normal

multivariate multiple linear regression

2 sets of  
2 or more

0

interval & normal

canonical correlation

2 or more

0

interval & normal

factor analysis

 

  评论这张
 
阅读(738)| 评论(0)
推荐 转载

历史上的今天

在LOFTER的更多文章

评论

<#--最新日志,群博日志--> <#--推荐日志--> <#--引用记录--> <#--博主推荐--> <#--随机阅读--> <#--首页推荐--> <#--历史上的今天--> <#--被推荐日志--> <#--上一篇,下一篇--> <#-- 热度 --> <#-- 网易新闻广告 --> <#--右边模块结构--> <#--评论模块结构--> <#--引用模块结构--> <#--博主发起的投票-->
 
 
 
 
 
 
 
 
 
 
 
 
 
 

页脚

网易公司版权所有 ©1997-2017