Search found 31 matches
- Sat Mar 21, 2020 8:06 am
- Forum: R2MLwiN user forum
- Topic: R2MLwiN and multilevel multiple imputation
- Replies: 10
- Views: 26872
R2MLwiN and multilevel multiple imputation
Hi, I have a simple question, but didn't want to dive in before I know the answer to... what's the ideal approach to conduct multiple imputations of multilevel data in R using R2MLwiN? I know there are options like REALCOM and Stat-JR but I do not have access to these software. Also, it would be muc...
- Fri Aug 23, 2019 8:49 pm
- Forum: runmlwin user forum
- Topic: Inconsistent results from runmlwin and svy:mean
- Replies: 2
- Views: 5201
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 ...
- Thu Aug 22, 2019 7:07 pm
- Forum: runmlwin user forum
- Topic: Inconsistent results from runmlwin and svy:mean
- Replies: 2
- Views: 5201
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...
- Mon Aug 19, 2019 11:08 pm
- Forum: R2MLwiN user forum
- Topic: Extracting regression results
- Replies: 4
- Views: 13318
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...
- Fri Aug 16, 2019 4:10 pm
- Forum: R2MLwiN user forum
- Topic: Extracting regression results
- Replies: 4
- Views: 13318
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...
- Fri Aug 16, 2019 3:00 pm
- Forum: R2MLwiN user forum
- Topic: Extracting regression results
- Replies: 4
- Views: 13318
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...
- Thu Aug 15, 2019 8:24 pm
- Forum: MLwiN user forum
- Topic: Wald test and SE of variances
- Replies: 2
- Views: 4802
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...
- Mon Aug 05, 2019 3:33 pm
- Forum: MLwiN user forum
- Topic: Wald test and SE of variances
- Replies: 2
- Views: 4802
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...
- Wed Jul 31, 2019 1:46 pm
- Forum: runmlwin user forum
- Topic: jackknife replicate weight in runmlwin
- Replies: 3
- Views: 6176
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 -mi...
- Tue Jul 16, 2019 2:06 pm
- Forum: runmlwin user forum
- Topic: jackknife replicate weight in runmlwin
- Replies: 3
- Views: 6176
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
- Sun Lee