Search found 427 matches

by GeorgeLeckie
Thu Sep 15, 2016 10:51 am
Forum: runmlwin user forum
Topic: Multilevel piecewise logistic regression
Replies: 3
Views: 1582

Re: Multilevel piecewise logistic regression

Hi IgnacioA, I am not entirely sure what you are after. The question also seems more about working our what you want to do in terms of specifying your underlying statistical model rather than how to implement a given model in runmlwin. What might help is to first consider a standard piecewise linear...
by GeorgeLeckie
Fri Sep 02, 2016 10:53 am
Forum: runmlwin user forum
Topic: Testing variance components across equations
Replies: 2
Views: 1664

Re: Testing variance components across equations

Hi Phillipe, Wald tests are frowned upon when testing whether variance components are significant as variances do not have normal sampling distributions. For this reason, likelihood ratio tests are generally preferred in this setting. In your case you are interested in testing whether the difference...
by GeorgeLeckie
Fri Sep 02, 2016 10:49 am
Forum: MLwiN user forum
Topic: Calculating CI variables in multi level multiple regression models
Replies: 2
Views: 4003

Re: Calculating CI variables in multi level multiple regression models

Hi Helen,

In the latest version of MLwiN, the Model Comparison window now gives you p-values and 95% confidence intervals for each regression coefficient if you tick the relevant check boxes.

Best wishes

George
by GeorgeLeckie
Fri Sep 02, 2016 10:46 am
Forum: runmlwin user forum
Topic: Use of constraints with runmlwin
Replies: 4
Views: 1767

Re: Use of constraints with runmlwin

Hi Ron McDowell, I'm afraid there is no way to implements constraints in MLwiN when using MCMC estimation. The exception is in multivariate response models and ordered and unordered multinomial models where for each covariate you can impose common or separately estimated coefficients for each respon...
by GeorgeLeckie
Fri Sep 02, 2016 10:41 am
Forum: MLwiN user forum
Topic: Running 2-level MLM from variance-covariance matrices
Replies: 1
Views: 3197

Re: Running 2-level MLM from variance-covariance matrices

Hi Matt,

I'm afraid, in MLwiN and all other standard multilevel modelling data you need to fit models to the the underlying data, not to the summary statistics derived from these data.

Suggest you encourage the Government department to install MLwiN on their computers.

Best wishes

George
by GeorgeLeckie
Wed Aug 24, 2016 2:35 pm
Forum: R2MLwiN user forum
Topic: Relative risk ratios in R2MLwiN
Replies: 5
Views: 2279

Re: Relative risk ratios in R2MLwiN

Hi Timm, Just to clarify. Stata refers to the exponentiated regression coefficients from a multinomial logistic regression as "relative-risk ratios". This is the what the original post requested and Chris's proposed solution gives the user these ratios. http://www.stata.com/manuals14/rmlogit.pdf You...
by GeorgeLeckie
Tue Aug 16, 2016 4:14 pm
Forum: runmlwin user forum
Topic: p-value for the MCMC approach
Replies: 1
Views: 1410

Re: p-value for the MCMC approach

Hi Vivian,

While the one-sided p-values are displayed by default, if you instead specify the zratio option you will get "conventional" p-values based on assuming the parameters have normal sampling distributions. These p-values are associated with two-sided hypothesis testing.

Best wishes

George
by GeorgeLeckie
Wed Aug 10, 2016 2:18 pm
Forum: MLwiN user forum
Topic: Data set up Longitudinal Multiple Membership Model
Replies: 11
Views: 8170

Re: Data set up Longitudinal Multiple Membership Model

Hi Gerine,

If you haven't already done so, I recommend that you read the Multiple Membership module of our LEMMA online course for a good overview of what these models can and can't do.

Hope that helps

George
by GeorgeLeckie
Tue Aug 09, 2016 12:09 pm
Forum: MLwiN user forum
Topic: Data set up Longitudinal Multiple Membership Model
Replies: 11
Views: 8170

Re: Data set up Longitudinal Multiple Membership Model

Hi Gerine, MlwiN like all standard software will listwise delete the data (drop rows where there are one or more missing values in the response or covariates) prior to fitting any specified model. So it depends on what you intend to do with your data. If you want to regress grade 8 score on grade 5,...
by GeorgeLeckie
Mon Aug 08, 2016 3:53 pm
Forum: MLwiN user forum
Topic: Data set up Longitudinal Multiple Membership Model
Replies: 11
Views: 8170

Re: Data set up Longitudinal Multiple Membership Model

Hi Gerine, Its all about the level-1 observations. Each observation belongs to one child, one class and one school. The data are therefore cross-classified rather than multiple membership. So what you want to do is fit cross-classified models rather than multiple membership models. I hope that helps...