Search found 9 matches

by rahulvbb
Tue May 03, 2016 4:07 pm
Forum: runmlwin user forum
Topic: Random effects prediction and interpretation in multilevel logit models
Replies: 2
Views: 5010

Re: Random effects prediction and interpretation in multilevel logit models

Dear sir,
Thank you for your response. Its very helpful. I have one more question: the significance of these predicted values based on estimated std errors!!!!!
Do we need to check the statistical significance of these effects?
In my case none of the effect is statistically significant.
Please ...
by rahulvbb
Sun May 01, 2016 12:08 pm
Forum: runmlwin user forum
Topic: Random effects prediction and interpretation in multilevel logit models
Replies: 2
Views: 5010

Random effects prediction and interpretation in multilevel logit models

Dear All,

I have estimated 3 level random intercept logit model. Also, I have predicted the random effects and its std.error.
The codes used are as follows.
#delimit ;
runmlwin d2 cons t2-t10 i.b4_1 i.b4_2 mort1 mort2 i.ageR2 i.yrsch i.wealthq i.work i.v025 i.caste i.religion diff
female_lit ...
by rahulvbb
Sat Mar 28, 2015 5:27 am
Forum: runmlwin user forum
Topic: Modelling Chidren Ever Born
Replies: 8
Views: 11029

Re: Modelling Chidren Ever Born

Thank you very much sir.
by rahulvbb
Wed Mar 25, 2015 7:56 pm
Forum: runmlwin user forum
Topic: Modelling Chidren Ever Born
Replies: 8
Views: 11029

Re: Modelling Chidren Ever Born

Dear Sir,
I have mailed you the data set and codes.
Regards
by rahulvbb
Wed Mar 25, 2015 6:07 am
Forum: runmlwin user forum
Topic: Modelling Chidren Ever Born
Replies: 8
Views: 11029

Re: Modelling Chidren Ever Born

Dear Sir,
Thank you very much for you response. As, suggested I ran the codes you sent.
From the results, The intercept and variance estimated from stata's random effects command (xtreg) seem to be ok. But the runmlwin's estimates are still same. There is huge difference in the psu level variance ...
by rahulvbb
Tue Mar 24, 2015 5:56 am
Forum: runmlwin user forum
Topic: Modelling Chidren Ever Born
Replies: 8
Views: 11029

Re: Modelling Chidren Ever Born

Dear Sir,
Yes, the ceb variable is count of the number births per adult woman. I am pasting the runmlwin syntax below:
#delimit ;
runmlwin ceb cons ,
level2(psuid:cons ) level1(id:)
discrete(distribution(poisson) link(log) mql1)
mlwinsettings(size(536000) levels(5) columns(1500) variables(300 ...
by rahulvbb
Thu Mar 19, 2015 12:09 pm
Forum: MLwiN user forum
Topic: Multilevel Discrete time hazard model
Replies: 1
Views: 10082

Multilevel Discrete time hazard model

Dear all,
I am running the discrete time multilevel model (time to single event (birth of order2) ). I have taken the episodes at level-1 and community at level2 and state at level3. My problem is that, the variances at state and community level are smaller when using null model than when I use ...
by rahulvbb
Wed Mar 18, 2015 2:27 pm
Forum: runmlwin user forum
Topic: Modelling Chidren Ever Born
Replies: 8
Views: 11029

Modelling Chidren Ever Born

Dear All,
I am examining community level correlates of Children Ever Born using Indian DHS data. I am using multilevel (2 level) Poisson regression with community at level 2 (PSU) and women at level 1.
My problem is that the community level variance is coming to be very low (around 0.0007). When, I ...
by rahulvbb
Thu Feb 19, 2015 1:19 pm
Forum: runmlwin user forum
Topic: Multilevel Discrete time hazard model
Replies: 1
Views: 4280

Multilevel Discrete time hazard model

Dear all,
I have to fit multilevel discrete time hazard model to examine correlates of third birth. For the purpose, I have converted my data into person period format as required for the discrete time survival analysis. Now, I am trying to fit a two level model using runmlwin. In the mdoel I have ...