All Questions
54
questions
0
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0
answers
39
views
How to report ANOVA results when comparing to negative binomial models?
I want to report the results of an ANOVA test used to compare two negative binomial models in R:
anova(model1, model2, test = "Chi")
I receive the ...
Cami
1
vote
0
answers
24
views
Necessary diagnostics of multiple quantile regression
I am wondering what are necessary statistics for multiple quantile regression model.
I am considering creating a model e.g. using the quantreg R package:
...
- 141
2
votes
1
answer
84
views
The "detectseparation" package. How to interpret its results?
I am running a logistic regression on financial data of several companies. The dependent variable is the company to be a smoother (binary variable: 0, 1), and there are several independent variables: ...
- 151
3
votes
2
answers
319
views
Beta regression coefficient interpretation
I'm trying to use beta regression on a data set where the response variable is in percentage (i.e. between 0 and 1), so let's say it's the unemployment rate. I'm having trouble wrapping my head around ...
0
votes
0
answers
33
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Should I report df, SSQ, F and p, or should I report estimate, std error, t and p for my linear model?
Im using multiple linear models/regressions and wondering whats the best way to report a model in a scientific manuscript? I see so many versions. Should i go for the info in summary() or anova()? If ...
1
vote
1
answer
455
views
How to report on model selection
I have run model selection and have been advised to use the BIC value to determine the best model for my purposes.
However, having looked around online I cannot seem to find a standard way to report ...
0
votes
0
answers
23
views
Showing names of levels in glmer R [duplicate]
I have a simple question that would help me a lot in interpreting my results
I ran a glmer model in R with the following variables:
a binary DV that is dummy coded
a categorical IV1 named "...
- 23
2
votes
1
answer
79
views
How do we report a regression with categorical * continouns interaction?
I was wondering how would be the best way to report this model ?
...
- 771
0
votes
1
answer
96
views
Properly displaying Categorical Variables Represented as R Factors in a Table
I submitted the following table for peer review in a manuscript. The reviewer comments showed that the table confused them. In our study we have a pre- and post-score that we measured as DVs. Our ...
- 3
1
vote
2
answers
8k
views
How to report results from linear mixed models: interaction terms changing significance
I've used linear mixed models to test if factors genotype and sex influence colon length, while including batch as a random effect. I first ran the test...
- 13
1
vote
3
answers
422
views
Which model fit indices do you report from lavaan CFA for scale development?
For RMSEA there seems to be a regular value and two robust values. Are there any recommendations on which of the three values to report? Would you report 1, 2 or 3 from ...
- 21
0
votes
1
answer
325
views
Reporting guideline for bayesian using pd and ROPE
In the bayestestR articles, I came across the reporting guidelines that they recommend
“the effect of X has a probability of pd of being negative (Median = median, ...
- 227
2
votes
0
answers
4k
views
How to report the results of an anova() model comparison?
I have two models with the same outcome variable and the same independent variables, but Model 1 has two more independent variables than ...
- 123
1
vote
1
answer
3k
views
When should I report multiple r-squared versus adjusted r-squared in a linear regression?
I am trying to report the r-squared value for the results of a linear regression in R using the lm package. I noticed that the ...
- 291
3
votes
1
answer
228
views
How to write fitted model using data from R?
I don't know how to write a fitted model. What I did was:
Y hat = (1.222 * e^1) + (3.938 * e^-4 * sqft_living)
This is for the fitted model for waterfront = 0 group. However, I don't know how to do it ...
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