hello, wilfred, I just watched your video today and subscribed! You've got really good contents. please can you make a video on how to estimate latent growth model in stata and how to interpret the results?
Hi, thank you for subscribing and for your kind words! I'm glad you're enjoying the content. I’d be happy to make a video on estimating latent growth models in Stata and interpreting the results. In the meantime, if you need personal assistance, feel free to reach out via email at theanalystwilfred@gmail.com. Thanks for watching, and stay tuned for more!
Hello. Thank you for the video on Missing Data. Very helpful. Please make a video on any of the following areas 1. Multinomial Ordinal Logistic Regression 2. Advanced Modelling of count data 3. Survival Analysis 4. Analyis of Heirarchical and other Dependent data 5. Bayesian Statistics 6. Advanced Applied Survey Data Analysis Methods 7. Treatment effects 8. Times series analysis Looking forward to your feedback. REGARDS.......GREEETINGS FROM ZAMBIA
Thank you, Wilfred, for a very nice explanation on how to solve the issues of missing data , actually doing my MSc. study using time series data, and I have missing data for some market prices at the beginning. Some are in the medial, and at the end, the data are monthly, and I need your help on that; kindly
Thanks very much for such simplified techniques but i actually need your help as i am presently working on panel data of 15 African countries but i am having lots of missing variables.
Thank you very much for this video. Very useful. I'm getting this when I enter the How many imputations how_many_imputations Fraction of missing information (95% CI): . ( ., .) Imputations in pilot: . Imputations needed: . Imputations to add: 0 . What can I do?
mostly demographic and health surveys are categorical but it will depend on the type of variables you have selected.Your issue is unique and there are more isolated multiple imputation approaches that can be applied.Kindly reach me via email: inferdatalytics.consultancy@gmail.com for further discussion and clarification.Thank you
Thank you for the video. Please I am using a large data set for my STATA analysis. A specific variable I am interested in (income) is country-specific (each country has a separate variable for income). Do you know how I can analyse the income as a whole variable, please? Thank you for your help.
Hello. Thanks for your video, it's so helpful. I had a problem of collinearity when I added the option by(Country) as I think it should be imputed according to different Countries. Do you have any idea about this problem? Please help me
Hello, how can I fix this problem when do command "mi impute mvn": Performing EM optimization: note: 1 observation omitted from EM estimation because of all imputation variables missing. Iteration 1: variance-covariance matrix (Sigma) is not positive definite EM did not converge r(498); Thank you so much
The error message you encountered suggests that there is an issue with the input data or parameters when using the "mi impute mvn" command.I think its good to check your data first so as to troubleshoot the issue.In case of any help reach me via inferdatalytics.consultancy@gmail.com
hello, wilfred, I just watched your video today and subscribed! You've got really good contents. please can you make a video on how to estimate latent growth model in stata and how to interpret the results?
Hi, thank you for subscribing and for your kind words! I'm glad you're enjoying the content. I’d be happy to make a video on estimating latent growth models in Stata and interpreting the results. In the meantime, if you need personal assistance, feel free to reach out via email at theanalystwilfred@gmail.com. Thanks for watching, and stay tuned for more!
Hello. Thank you for the video on Missing Data. Very helpful.
Please make a video on any of the following areas
1. Multinomial Ordinal Logistic Regression
2. Advanced Modelling of count data
3. Survival Analysis
4. Analyis of Heirarchical and other Dependent data
5. Bayesian Statistics
6. Advanced Applied Survey Data Analysis Methods
7. Treatment effects
8. Times series analysis
Looking forward to your feedback.
REGARDS.......GREEETINGS FROM ZAMBIA
Thank you, Wilfred, for a very nice explanation on how to solve the issues of missing data , actually doing my MSc. study using time series data, and I have missing data for some market prices at the beginning. Some are in the medial, and at the end, the data are monthly, and I need your help on that; kindly
Connect with me via inferdatalytics.consultancy@gmail.com
Thanks a lot for this video. It was really helpful to put in practice what I've learnt in theory at class.
Great to hear that... kindly subscribe for more videos coming.
@@wilfred.theanalyst Already done!
I've got a question: what is the package I need to install tu succesfully run the command "how_many_imputations"???
@@nicolasaguilerameza8703 package name 'how_many_imputation" you can check part 1 of the video it will show you how to install the same package
@@wilfred.theanalyst Thank you Wilfred!!!
Thanks very much for such simplified techniques but i actually need your help as i am presently working on panel data of 15 African countries but i am having lots of missing variables.
You can connect with me via inferdatalytics.consultancy@gmail.com
Thank you very much for this video. Very useful. I'm getting this when I enter the How many imputations
how_many_imputations
Fraction of missing information (95% CI): . ( ., .)
Imputations in pilot: .
Imputations needed: .
Imputations to add: 0
.
What can I do?
This depends on the data you are using ,so the problem is on the data.
You can reach me out via inferdatalytics.consultancy@gmail.com so as we can see the type of data you are having.Thanks
Hi 👋.. how about when U ar using DHS data, and using quantile regression how do I do multiple imputations? I'll appreciate your quick response 🙏
mostly demographic and health surveys are categorical but it will depend on the type of variables you have selected.Your issue is unique and there are more isolated multiple imputation approaches that can be applied.Kindly reach me via email: inferdatalytics.consultancy@gmail.com for further discussion and clarification.Thank you
Thank you for the video. Please I am using a large data set for my STATA analysis.
A specific variable I am interested in (income) is country-specific (each country has a separate variable for income). Do you know how I can analyse the income as a whole variable, please?
Thank you for your help.
For consultation kindy connect with me via email: inferdatalytics.consultancy@gmail.com
Hello. Thanks for your video, it's so helpful. I had a problem of collinearity when I added the option by(Country) as I think it should be imputed according to different Countries. Do you have any idea about this problem? Please help me
Please make a video on multiple correspondence analysis (MCA) in stata
Great, I will upload that soon.
You can now watch how to do MCA in Stata th-cam.com/video/fITtNrMZgAM/w-d-xo.html
Thanks for your great efforts. Really helpful video for me.
Hello Wilfred, good presentation. Are you familiar with SEM in stata?
Thank you Gabriel. Yeah I am familiar with Structural Equation Modeling(SEM) using Stata. Inbox me at inferdatalytics.consultancy@gmail.com
I will . Thanks
Hello, how can I fix this problem when do command "mi impute mvn":
Performing EM optimization:
note: 1 observation omitted from EM estimation because of all imputation variables missing.
Iteration 1: variance-covariance matrix (Sigma) is not positive definite
EM did not converge
r(498);
Thank you so much
The error message you encountered suggests that there is an issue with the input data or parameters when using the "mi impute mvn" command.I think its good to check your data first so as to troubleshoot the issue.In case of any help reach me via inferdatalytics.consultancy@gmail.com