Search found 156 matches
- Fri Jun 30, 2023 6:52 pm
- Forum: MLwiN user forum
- Topic: Non-linear repeated measures 3-level (Or maybe 2-level!) modelling
- Replies: 7
- Views: 6905
Re: Non-linear repeated measures 3-level (Or maybe 2-level!) modelling
Hi John, Thanks for the clarification. I'd therefore call the measures age 4 and age 5 rather than baseline and follow up. Then 3-levels might make more sense and you could include age as a predictor to control for age related differences perhaps with age related interactions which would pretty much...
- Fri Jun 30, 2023 4:44 pm
- Forum: MLwiN user forum
- Topic: Non-linear repeated measures 3-level (Or maybe 2-level!) modelling
- Replies: 7
- Views: 6905
Re: Non-linear repeated measures 3-level (Or maybe 2-level!) modelling
Hi John, Presumably when you talk about a quadratic relationship you are talking globally as having only 2 measures per child would not allow anything more than a linear relationship at the child level. When someone uses terms like baseline and follow-up it suggests something happens in between thou...
- Tue Jun 27, 2023 6:14 pm
- Forum: MLwiN user forum
- Topic: About creating pseudo-levels
- Replies: 4
- Views: 6608
Re: About creating pseudo-levels
Hi Cesarroga,
I can recommend my paper on this https://rss.onlinelibrary.wiley.com/doi ... 04.00365.x which looks at partitioning variation in a logistic model with overdispersion and has a similar example of counts for different categories.
Best wishes,
Bill.
I can recommend my paper on this https://rss.onlinelibrary.wiley.com/doi ... 04.00365.x which looks at partitioning variation in a logistic model with overdispersion and has a similar example of counts for different categories.
Best wishes,
Bill.
- Tue Jun 27, 2023 1:12 pm
- Forum: MLwiN user forum
- Topic: About creating pseudo-levels
- Replies: 4
- Views: 6608
Re: About creating pseudo-levels
Hi Cesarroga, You should be able to code logistic regression examples where the denominator is not 1 so that you can then model the 6 proportions as 6 couplets (y,n) one per row in the dataset and nest these within small areas. In MLwiN you would have as you say the same levels as level 1 and level ...
- Mon Apr 17, 2023 4:40 pm
- Forum: MLwiN user forum
- Topic: Nested covariates and implication for ML model structure
- Replies: 2
- Views: 5709
Re: Nested covariates and implication for ML model structure
Hi John, With only 6 faculties you would be hard pressed to estimate random effects - I guess you may get enough departments to treat as random. If you decide to fit them as fixed effects then simply putting in department effects will saturate the model at that level and you will not be able to add ...
- Thu Feb 02, 2023 10:17 am
- Forum: MLwiN user forum
- Topic: Multiple Membership Weights
- Replies: 2
- Views: 9828
Re: Multiple Membership Weights
Hi, So there are various schools of thought here. Many people use weights that sum to 1 and I think in my MMMC paper (Browne, Goldstein and Rasbash, 2001) we did that. We have also argued (Tranmer, Steele and Browne, 2014) that it might make sense to make the squares of the weights sum to 1 as then ...
- Wed Oct 12, 2022 2:07 pm
- Forum: MLwiN user forum
- Topic: manage "time" in longitudinal dyadic MCMC model
- Replies: 3
- Views: 16872
Re: manage "time" in longitudinal dyadic MCMC model
Hi JeanSebastien,
This seems more of a concept question rather than an MLwiN question. I think if you give more information about your data then it might be easier to answer and I am assuming the question is related to the earlier one you sent.
Best wishes,
Bill.
This seems more of a concept question rather than an MLwiN question. I think if you give more information about your data then it might be easier to answer and I am assuming the question is related to the earlier one you sent.
Best wishes,
Bill.
- Wed Oct 12, 2022 2:05 pm
- Forum: MLwiN user forum
- Topic: Format dyadic data for MCMC model
- Replies: 1
- Views: 13207
Re: Format dyadic data for MCMC model
Hi JS, You may need to give more details here as to what type of multilevel model you are fitting. Generally one would expect one row per response so it would depend on what level of data the responses were measured on - if this is dyads then you might have a multiple membership structure with dyads...
- Tue Aug 09, 2022 12:38 pm
- Forum: MLwiN user forum
- Topic: repeated measurement multilevel modeling: research design
- Replies: 3
- Views: 12940
Re: repeated measurement multilevel modeling: research design
Hi Hakimeh, Not sure I fully follow your research but I'll try and answer - your diagrams are a bit weird as I would have just put parent1, parent 2 etc. and then you would use whether they are addicted or not as a covariate - otherwise it looks like you only have 2 parents. I was unclear of what th...
- Mon Apr 25, 2022 11:28 am
- Forum: runmlwin user forum
- Topic: Cross-classified multilevel logit model: Deriving ICCs with varying group sizes
- Replies: 1
- Views: 9503
Re: Cross-classified multilevel logit model: Deriving ICCs with varying group sizes
Hi Johannes,
I am not sure that the group size differences will make much difference here - I guess you just have more information about within group variability in some groups than others. Your smallest group is still pretty big compared to many situations.
Best wishes,
Bill.
I am not sure that the group size differences will make much difference here - I guess you just have more information about within group variability in some groups than others. Your smallest group is still pretty big compared to many situations.
Best wishes,
Bill.