Search found 432 matches
- Wed Aug 24, 2016 2:35 pm
- Forum: R2MLwiN user forum
- Topic: Relative risk ratios in R2MLwiN
- Replies: 5
- Views: 7642
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/rmlog...
- Tue Aug 16, 2016 4:14 pm
- Forum: runmlwin user forum
- Topic: p-value for the MCMC approach
- Replies: 1
- Views: 3792
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 ...
- Wed Aug 10, 2016 2:18 pm
- Forum: MLwiN user forum
- Topic: Data set up Longitudinal Multiple Membership Model
- Replies: 11
- Views: 16536
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
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
- Tue Aug 09, 2016 12:09 pm
- Forum: MLwiN user forum
- Topic: Data set up Longitudinal Multiple Membership Model
- Replies: 11
- Views: 16536
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,...
- Mon Aug 08, 2016 3:53 pm
- Forum: MLwiN user forum
- Topic: Data set up Longitudinal Multiple Membership Model
- Replies: 11
- Views: 16536
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...
- Wed Aug 03, 2016 4:02 pm
- Forum: runmlwin user forum
- Topic: query on calculation of probability predictions
- Replies: 3
- Views: 5719
Re: query on calculation of probability predictions
Hi Bernie, Thanks for providing the full runmlwin syntax. It looks correct for specifying a cross-classified model. Each response measurement belongs to only one interviewer so do not refer to the data structure or the above model as multiple membership as this implies that each response measurement...
- Tue Aug 02, 2016 4:28 pm
- Forum: runmlwin user forum
- Topic: Predicted Probability for ML Ordinal Model
- Replies: 3
- Views: 5109
Re: Predicted Probability for ML Ordinal Model
Hi Vivian,
As far as I can see what you have done looks correct. I am guessing that the other 12 rows correspond to scenarios where two or more dummies are switched on simultaneously which of course do not make sense in your example. So yes ignore these 12 other rows.
Best wishes
George
As far as I can see what you have done looks correct. I am guessing that the other 12 rows correspond to scenarios where two or more dummies are switched on simultaneously which of course do not make sense in your example. So yes ignore these 12 other rows.
Best wishes
George
- Tue Aug 02, 2016 12:21 pm
- Forum: runmlwin user forum
- Topic: query on calculation of probability predictions
- Replies: 3
- Views: 5719
Re: query on calculation of probability predictions
Hi Bernie, The data sound cross-classified rather than multiple membership. Each response score belongs to one respondent and one interviewer rather than multiple individuals or multiple interviewers. In terms of your runmlwin syntax, I wasn't clear to what the xwaveid identifer referred to. You als...
- Tue Aug 02, 2016 11:43 am
- Forum: MLwiN user forum
- Topic: Data set up Longitudinal Multiple Membership Model
- Replies: 11
- Views: 16536
Re: Data set up Longitudinal Multiple Membership Model
Hi Gerine, There is a lot of information here. However, as far as I can see your scores are the level-1 units in cross-classified data structure rather than a multiple membership structure. You have a separate score for each child in each wave. So each score is associated with one child, one class a...
- Tue Aug 02, 2016 11:30 am
- Forum: runmlwin user forum
- Topic: Predicted Probability for ML Ordinal Model
- Replies: 3
- Views: 5109
Re: Predicted Probability for ML Ordinal Model
Hi Vivian, Yes. What you have done should work. Please can you send through more details about the MLwiN crash. Alternatively, the more "runmlwin" approach would be to calculate these predicted probabilities in Stata. See http://www.bristol.ac.uk/cmm/media/runmlwin/11_Fitting_an_Ordered_Ca...