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Statistics版 - 问题:fitness in categorical regression
相关主题
说一下今天的电面面试问题求教(更新了啊)
logistic regression 问题关于 Logit Regression和Deviance的问题。
想申生统PhD要补哪些课?ask a question about multiple regression with high correlated predictors
大家做过这个面试题吗?Is there any correlation between the two data set?
regression prediction问题R-square of logistic regression
Q's when fitting exact logistic regression...急问negative binomial regression的结果的model significance看哪个参数
ROC: multiple measurements for each subject?goodness-of-fit test for logistic regression 大于.1怎么办?
residual deviance 和 dispersion parameterlogistic regression issue
相关话题的讨论汇总
话题: regression话题: model话题: fitness
进入Statistics版参与讨论
1 (共1页)
i*****c
发帖数: 1322
1
请问在categorical regression中,to see if the model is better than the null
model,如果p-value 很大,怎么justify我用这个model呢?比如我想看某个疾病的
outcome(有就是1,没有是0)和 age, duration, measurement X。用R得到的
regression model, measurement X and outcome are significantly associated (p-
value<0.05)。当R用indices of fit(null,deviance,residual)measure fitness of
the model 时得到p-value 0.7. 但是t-test 和 OR 都显示measurement X 在1组和0
组中显著不同。应该怎么解释呢?
w*******9
发帖数: 1433
2
Check whether x is correlated with age duration. All coefficients being
significant does not imply good fitting.
i*****c
发帖数: 1322
3
x is not correlated with age or duration.
w*******9
发帖数: 1433
4
If you can share your data with me, it would be terrific. Both of us can try
something fancier ( the first thing coming up in my mind would be
considering the dispersion or some data mining tools).
1 (共1页)
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相关主题
logistic regression issueregression prediction问题
[合集] 一个关于random-effects model的问题Q's when fitting exact logistic regression...
longitudinal, correlation, useless?ROC: multiple measurements for each subject?
How to account for variation within a data point?residual deviance 和 dispersion parameter
说一下今天的电面面试问题求教(更新了啊)
logistic regression 问题关于 Logit Regression和Deviance的问题。
想申生统PhD要补哪些课?ask a question about multiple regression with high correlated predictors
大家做过这个面试题吗?Is there any correlation between the two data set?
相关话题的讨论汇总
话题: regression话题: model话题: fitness