.png){kind=icon}
返回
Can p-values be meaningfully interpreted without random sampling?
.png){kind=icon}
OA
AI
DOI：10.1214/20-SS129.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Besides the inferential errors that abound in the interpretation of p-values, the probabilistic pre-conditions (i.e. random sampling or equivalent) for using them at all are not often met by observational studies in the social sciences. This paper systematizes different sampling designs and discusses the restrictive requirements of data collection that are the indispensable prerequisite for using p-values.
Keyword:
Sampling design
propensity scores
p-values
random sampling
selection bias
inference
期刊
S
IF:
15.4
论文数:
30
被引数:
1.0K
机构
引用论文
Long-Term Effects of Climate Variability on Seed Rain Dynamics of Four Fagaceae Sympatric Species in Qinling Mountains, China.png)
BiologyOAAI
BiologyIF0
OAAI分享收藏Simulation of stably stratified flow in complex terrain: flow structures and dividing streamline
PREAI
分享收藏
查看更多内容