Search found 16 matches
- Wed Mar 24, 2021 9:22 am
- Forum: runmlwin user forum
- Topic: DICs difference when comparing models after MCMC
- Replies: 2
- Views: 11919
Re: DICs difference when comparing models after MCMC
Thank you, very useful!
- Tue Mar 23, 2021 5:21 pm
- Forum: runmlwin user forum
- Topic: DICs difference when comparing models after MCMC
- Replies: 2
- Views: 11919
DICs difference when comparing models after MCMC
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 value...
- Tue Mar 23, 2021 3:56 pm
- Forum: runmlwin user forum
- Topic: 95%Credible intervals are smaller than OR
- Replies: 6
- Views: 15054
Re: 95%Credible intervals are smaller than OR
That worked well, thank you Chris!
- Tue Mar 23, 2021 2:15 pm
- Forum: runmlwin user forum
- Topic: 95%Credible intervals are smaller than OR
- Replies: 6
- Views: 15054
Re: 95%Credible intervals are smaller than OR
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(cons...
- Tue Mar 23, 2021 9:32 am
- Forum: runmlwin user forum
- Topic: 95%Credible intervals are smaller than OR
- Replies: 6
- Views: 15054
Re: 95%Credible intervals are smaller than OR
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 the i...
- Sat Mar 20, 2021 6:10 pm
- Forum: runmlwin user forum
- Topic: 95%Credible intervals are smaller than OR
- Replies: 6
- Views: 15054
95%Credible intervals are smaller than OR
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(logi...
- Fri Mar 19, 2021 9:21 am
- Forum: runmlwin user forum
- Topic: Brooks-Drapers diagnostic says 1,03e+7, do I need to rerun the model with 10 300 000 iterations?
- Replies: 4
- Views: 13182
Re: Brooks-Drapers diagnostic says 1,03e+7, do I need to rerun the model with 10 300 000 iterations?
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.
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.
- Thu Mar 18, 2021 3:47 pm
- Forum: runmlwin user forum
- Topic: Brooks-Drapers diagnostic says 1,03e+7, do I need to rerun the model with 10 300 000 iterations?
- Replies: 4
- Views: 13182
Brooks-Drapers diagnostic says 1,03e+7, do I need to rerun the model with 10 300 000 iterations?
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 cons pr...
- Fri Mar 12, 2021 2:39 pm
- Forum: runmlwin user forum
- Topic: using runmlwin with survey weights
- Replies: 3
- Views: 12495
Re: using runmlwin with survey weights
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
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
- Fri Mar 12, 2021 2:23 pm
- Forum: runmlwin user forum
- Topic: Coefficient legends after runmlwin
- Replies: 2
- Views: 11190
Re: Coefficient legends after runmlwin
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!
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!