Search found 10 matches

by tjsduq64
Fri Aug 23, 2019 8:49 pm
Forum: runmlwin user forum
Topic: Inconsistent results from runmlwin and svy:mean
Replies: 2
Views: 534

Re: Inconsistent results from runmlwin and svy:mean

Dear Sun, Not sure, but am not that experienced in Stata's svyset commands runmlwin should give the same results as Stata's mixed command. So suggest you first compare your svyset method to mixed (where you use the mixed weights options). Assuming mixed and runmlwin give same results, Suggest then ...
by tjsduq64
Thu Aug 22, 2019 7:07 pm
Forum: runmlwin user forum
Topic: Inconsistent results from runmlwin and svy:mean
Replies: 2
Views: 534

Inconsistent results from runmlwin and svy:mean

Hello, Edit: I should provide more contexts. I am analyzing a complex survey (multistage sampling) design data. I wanted to compare a multilevel method using a MLwin and a svyset method in Stata. The actual data structure is three levels but below I am only showing as a level 1 structure to simplify...
by tjsduq64
Mon Aug 19, 2019 11:08 pm
Forum: R2MLwiN user forum
Topic: Extracting regression results
Replies: 4
Views: 664

Re: Extracting regression results

Thanks for the references. We did work on getting texreg to work with R2MLwiN, see https://www.bristol.ac.uk/cmm/media/r2mlwin/MCMCGuide04.Rout for another example of using this, as well as the memisc package. Last time I looked at stargazer it didn't provide the option to extend it for more estima...
by tjsduq64
Fri Aug 16, 2019 4:10 pm
Forum: R2MLwiN user forum
Topic: Extracting regression results
Replies: 4
Views: 664

Re: Extracting regression results

Which packages are you trying? We might be able to investigate whether it is possible to add support in a later version of R2MLwiN. You should be able to calculate these values yourself as follows: # coefficients coef(result_x36_main) # standard errors sqrt(diag(vcov(result_x36_main))) # z-score co...
by tjsduq64
Fri Aug 16, 2019 3:00 pm
Forum: R2MLwiN user forum
Topic: Extracting regression results
Replies: 4
Views: 664

Extracting regression results

Hello, what are some package options for extracting regression coefficients for R2MLwiN? I find that some packages won't work because they don't extract from S4 class. This is a type of models that I am running (i.e., two level random intercept model). I want to extract fixed and random effects coef...
by tjsduq64
Thu Aug 15, 2019 8:24 pm
Forum: MLwiN user forum
Topic: Wald test and SE of variances
Replies: 2
Views: 570

Re: Wald test and SE of variances

Hi Sun, the Wald test is only an approximate test for variance parameters as they do not have a normal distribution. That withstanding the test will form the difference of the 2 variances and then work out the SE for this difference to test for significance. This SE is made up of the SE for each pa...
by tjsduq64
Mon Aug 05, 2019 3:33 pm
Forum: MLwiN user forum
Topic: Wald test and SE of variances
Replies: 2
Views: 570

Wald test and SE of variances

I ran a complex level-1 model for two groups, let's say group 1 and group 2. I now have variance estimate for each group and its standard error (SE). I see if the two variances are significantly different from each other by adding and subtracting 1.96*SE to each estimate and check if they overlap. S...
by tjsduq64
Wed Jul 31, 2019 1:46 pm
Forum: runmlwin user forum
Topic: jackknife replicate weight in runmlwin
Replies: 3
Views: 750

Re: jackknife replicate weight in runmlwin

Hi Sun Lee, Yes you can specify weights in runmlwin. You need to specify weights at each level in the model. See the help file and search for "weight" to find the weights options. Unfortunately we do not have an example to show you. There is an example in the Stata ME manual for their -mixed- comma...
by tjsduq64
Tue Jul 16, 2019 2:06 pm
Forum: runmlwin user forum
Topic: jackknife replicate weight in runmlwin
Replies: 3
Views: 750

Re: jackknife replicate weight in runmlwin

alternatively, would the sandwich estimator in the runmlwin work fine for correcting standard errors, instead of using jackknife replicate weights? If this is the case, I will just go with the sandwich estimator...although they seem to be developed for different purposes.

- Sun Lee
by tjsduq64
Mon Jul 15, 2019 10:24 pm
Forum: runmlwin user forum
Topic: jackknife replicate weight in runmlwin
Replies: 3
Views: 750

jackknife replicate weight in runmlwin

Hello, Is it possible to use runmlwin on Stata to incorporate jackknife replicate weights for variance estimation in complex survey data? In the dataset, there is a weight variable which I can include it in the model by using weightvar(). I also have replicate weights for variance estimation but I d...