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0 votes
0 answers
43 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 ...
3 votes
2 answers
280 views

Key scientific publications reporting non-normal GLMMs in marine biology

I developed Poisson and Binomial GLMMs following the steps described in the excellent book from Zuur et al. (2009) Mixed Effects Models and Extensions in Ecology with R and I'm now ready to include my ...
81 votes
4 answers
29k views

How should tiny $p$-values be reported? (and why does R put a minimum on 2.22e-16?)

For some tests in R, there is a lower limit on the p-value calculations of $2.22 \cdot 10^{-16}$. I'm not sure why it's this number, if there is a good reason for ...
2 votes
1 answer
798 views

Reporting the results of nonparametric regression using kernel weights

I am wondering how I can present the results of nonparametric regression. I performed the nonparametric tests using R, and R package np. The commands used for this ...
1 vote
0 answers
27 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: ...
1 vote
3 answers
436 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 ...
2 votes
1 answer
90 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: ...
3 votes
2 answers
326 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 views

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
459 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 "...
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 ? ...
7 votes
3 answers
4k views

From SAS to R - what are "must" packages for reporting

One big advantage of SAS over R is arguably its ability to produce quite complex reports with few statements; think of PROC SUMMARY or ...
0 votes
1 answer
97 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 ...
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...

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