Search found 4 matches

by tetroupploy
Thu Apr 25, 2024 4:50 am
Forum: MLwiN user forum
Topic: Problem with variance absolute
Replies: 1
Views: 5952

Re: Problem with variance absolute

Hello, When you talk about a quadratic relationship, you're probably talking about it on a global scale, because having only two measures per child would only allow for a linear relationship. When someone uses terminology like baseline and follow-up, it implies that something happens in between, but...
by tetroupploy
Thu Feb 01, 2024 1:49 am
Forum: runmlwin user forum
Topic: Running margins on predictions from a runmlwin model fit
Replies: 5
Views: 6997

Re: Running margins on predictions from a runmlwin model fit

Chris and George, you are very much appreciated. I am hoping that both of you are being well :mrgreen: geometry dash lite
by tetroupploy
Thu Jan 25, 2024 1:12 am
Forum: MLwiN user forum
Topic: Weighting in pooled survey analysis - 3 levels
Replies: 2
Views: 3189

Re: Weighting in pooled survey analysis - 3 levels

The third level of weight calculation may be performed once the samples have been aligned. Gather the first two levels' weights and combine them to get the total survey weight moto x3m. The next step is to make proportionate weight adjustments such that the third level reference population is satisf...
by tetroupploy
Tue Jan 23, 2024 2:21 am
Forum: R2MLwiN user forum
Topic: mlwinfitMCMC object fitted values (propensity scores) storage
Replies: 1
Views: 1345

mlwinfitMCMC object fitted values (propensity scores) storage

I fitted a 2-level binomial model using mcmc. I want to apply predisposition score matching with calculated probability.
How can I convert mlwinfitMCMC fitted propensity scores (the predicted prob of Y for all obs) to numeric objects?

Base R commands are simple: p < model$fitted.values