One in ten rule
id:
one-in-ten-rule-161-9381992
title:
One in ten rule
text:
In statistics, the one in ten rule is a rule of thumb for how many predictor parameters can be estimated from data when doing regression analysis while keeping the risk of overfitting and finding spurious correlations low. The rule states that one predictive variable can be studied for every ten events. For logistic regression the number of events is given by the size of the smallest of the outcome categories, and for survival analysis it is given by the number of uncensored events. In other wor
brand slug:
wiki
category slug:
encyclopedia
description:
Statistical rule of thumb
original url:
https://en.wikipedia.org/wiki/One_in_ten_rule
date created:
2013-10-11T12:11:15Z
date modified:
2024-08-27T04:34:13Z
main entity:
{"identifier":"Q17104887","url":"https://www.wikidata.org/entity/Q17104887"}
image:
fields total:
13
integrity:
15