An advice needed on paper statistical analysis description
I will rephrase my question... Does it reasonable to perform the statistical analysis using MCMC simulations instead of available well-tested and documented functions when p-values may mislead? If looking at the 0.05 order p-values. I had 2 tests of 5 with p-values between 0.1 and 0.01 so I decided to perform the whole analysis with MCMC simulations. Under what kind of models I should also submit the BUGS code and detailed description of the models? I know some of you have wonders sometimes what to write in your statistical description part of a paper so this might be a helpful discussion... Cheers, Ofir.
Highland Statistics Ltd. wrote:
I in the final stages of writing a paper which summarized some of my PhD
aspects. I did a lot of mixed effects modelling. I have started with the lme function (I prefer it on `lmer` becuase it is more documented and more flexible in terms of weight and correlation structures). I came out with non-convincing p-values (As Zuur's 2009 book describes it - between 0.001 to 0.1)
Did we say that? We may have said that p-values in the order of 0.01 are not convincing for a GAM(M). Now I wonder what to write on the paper. We all do! Alain I guess I should explain why I used the somehow more complex approach (writing the models myself in JAGS) and I hope the reviewers will not reject the paper... I want to submit the paper to Ecology and most papers in this journal with BUGS analysis are much more complex and unique to a specific problem. I will be thankful to hear your advices. Thanks, Ofir.