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Thank you, very useful!

Hello,
I am comparing two models with a binary response variable with MCMC.
Model 1 is a single level model, model 2 is a two level models.
I understand that in this context, the DIC statistics should be used to compare models, and that the model with the lowest DIC is a better fit.

Is there a ...

That worked well, thank you Chris!

Thank you Chris,

this is the syntax I am using :
runmlwin unique_dipstick_avai2cats cons private secondaryhosp paed_mother_child centered_unique_turn19_time centered_exp_capita gov VHIOOP if unique_hospital==1, level2(country2: cons) level1(id:) discrete(distribution(binomial) link(logit) denom ...

Hello Chris,

The ACF plot shows quite some autocorrelation and the MCSE plot show that I should run the model with more iterations ( which I did)
The non-ORs results look fine ( the parameters are within the 95% Credible Intervals).

Gov and VHIOOP are 2 categories of the same variable. I think ...

Hello,

I am running the following multilevel model with a binary outcome with mcmc:

runmlwin unique_dipstick_avai2cats cons private secondaryhosp paed_mother_child centered_unique_turn19_time centered_exp_capita gov VHIOOP, level2(country2: cons) level1(id:) discrete(distribution(binomial) link ...

Hello Bill,

Thanks for your reply.

I want to report the estimate as 0.06.
Then what should I do? can I be satisfied with the 10 000 iterations of the initial model, or do I need to increase iterations, even if no up to to 10 300 000 ?

Thank you.

Hello,

I am running the following model with MCMC for a binary outcome:
runmlwin dipstick_available_for_use cons private solo centered_distance_lab99 centered_pc_turna_time3, level1(id:) discrete(distribution(binomial) link(logit) denom(cons) pql2) nopause
runmlwin dipstick_available_for_use ...

Hello Chris,

I know that the post is from September 2020, but has there been any change on this topic, is weighting possible with MCMC in MLwin?

Thank you

Manuel

Thank you George,

Is it also possible to obtain the names of the other parameters, for example the lower and upper boundaries of the 95% CI?

I am asking this because I want to create a syntax that allows including the 95% boundaries in calculations.

Thank you!