All Questions
Tagged with likelihood-ratio r
64
questions
1
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34
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How to test specific contrasts about levels of categorical variables through nested models? [closed]
This is not about obtaining any dataset. I HAVE the dataset.
This is not about debugging code, this is about EXPLAINING the way to obtain statistical relationship between the nested models (LRT ANOVA) ...
- 11
2
votes
0
answers
57
views
SUR estimated by OLS: restricted model has higher likelihood
I have three versions of a system of linear regression models: M, M0 and M00. I think each ...
- 68.6k
0
votes
0
answers
33
views
Equivalent to likelihood ratio test for null and fitted generalized linear model (Gamma) in R?
I have a dataset of ellipses and I am trying to perform regressions with different categorical variables to see what influences different ellipse parameters the most. As was suggested in the answer to ...
- 33
3
votes
1
answer
180
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Likelihood Ratio Testing for Binomial Distributions
I have a feeling this is a silly question. I am working on a research paper, at some point in it we perform a likelihood ratio test. The first guess would be to apply Wilks's theorem. However, if we ...
0
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0
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170
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Null model is a better fit for the data compared to experimental model?
I have built a generalised linear mixed effects model fitted to a gamma distribution. I am wanting to compare this experimental model to a nested null model to see whether it is a better fit for the ...
0
votes
1
answer
336
views
Likelihood test after cox model application
I am following this https://www.coursera.org/learn/survival-analysis-r-public-health/lecture/s4N9p/how-to-run-simple-cox-model-in-r and I've found that the coxph command ( survival package) perform a ...
- 45
2
votes
1
answer
212
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Likelihood ratio statistic differs when computed from logLik, deviance, and anova functions in R
I'm confused about getting different results when trying to perform the likelihood ratio test (LRT) with R in different ways that are supposed to be equivalent. Below is the R code with some simulated ...
- 21
2
votes
1
answer
203
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How to perform a likelihood ratio test in a new dataset？
I understood the purpose of likelihood ratio test. However, I am confused by the table below from a published investigation. Clearly the author compare a nested model (VMNS) and a full model (VMNS + ...
- 23
1
vote
1
answer
246
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Degrees of freedom when comparing models applied in a secondary (test) dataset
Two models in R:
mod_a = lm(height ~ age)
mod_b = lm(height ~ age + sex)
Those models have different degrees of freedom. Once they are applied in a separate set, ...
- 363
1
vote
1
answer
482
views
Compare linear regression slopes between non-nested models with differing dataset sizes
I'd like to test if the slopes of two linear regression models differ. However, the caveat is that one of the regressions fits a subset of the data, and the other fits the whole dataset. The two ...
- 135
1
vote
1
answer
2k
views
Significant coefficients but non-significant likelihood ratio test [closed]
Following a comment on this thread, I have a question about interpreting a logistic regression model with significant coefficients, but non significant likelihood ratio test.
I have a super simple ...
- 111
3
votes
1
answer
1k
views
Do I have to drop a random slope if I drop the fixed effect in mixed-models for model comparison?
I'm performing a model comparison using the likelihood ratio test in R with two mixed models fitted with lme4.
My model is:
...
2
votes
0
answers
291
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What measure to use to compare stratified and non stratified Cox proportional hazards in R
I am doing past papers studying for an exam on medical statistics and am unsure about one of the questions. The question reads as follows:
"Consider now a second model where we stratify by sex ...
0
votes
0
answers
82
views
Likelihood Ratio test returns negative deviation
I've ran the likelihood ratio test (statistc in 3rd row and p-value in 4th row) between the APARCH and the GJR. For some of the time series in analysis it returned a negative value for the test ...
1
vote
1
answer
214
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Comparing model efficiency
I hope you all don't mind me asking this question.
I have two models :
general linear mixed effects model
...
- 487