|
|
Logistic regression using clustering |
|
Message/Author |
|
mplususer posted on Friday, January 03, 2014 - 6:19 pm
|
|
|
(My apologies if this has already been asked.) I am using MPlus 4.0. I would like to conduct a logistic regression analysis, and my data are clustered at the family level. The following logistic regression (without accounting for clustering) runs with no problems: Title: Logistic regression for suicide attempts - MDD onset/recurrence Data: File is "file"; Variable: Names are IDYRFAM ID IDSEX MDDADOL MDDREC MDDGRP1 MDDGRP2 MDDGRP3 MDDGRP4 MDDGRP F3SUIC F3PABU F3SABU; Usevar are IDSEX MDDADOL MDDREC F3SUIC; Categorical are F3SUIC; Missing are all (-99); Analysis: ESTIMATOR = ML; Model: F3SUIC on IDSEX MDDADOL MDDREC; Output: CINTERVAL; However, when I include CLUSTER = IDYRFAM, I am told I must use TYPE = COMPLEX. When I add TYPE = COMPLEX, I am told that ESTIMATOR = ML cannot be used with TYPE = COMPLEX. My understanding is that the command ESTIMATOR = ML is what determines that this analysis is a logistic regression. Is there anyway to run a logistic regression with clustered data in MPlus 4.0? If not, can one do so in a later version of MPlus? Thank you very much for your help. |
|
|
Try ESTIMATOR=MLR; |
|
mplususer posted on Saturday, January 04, 2014 - 7:38 am
|
|
|
That worked, thank you very much for your reply. I am now running the following: Title: Logistic regression for suicide attempts - MDD onset/recurrence Data: File is "file"; Variable: Names are IDYRFAM ID IDSEX MDDADOL MDDREC MDDGRP1 MDDGRP2 MDDGRP3 MDDGRP4 MDDGRP F3SUIC F3PABU F3SABU; Usevar are IDYRFAM IDSEX MDDADOL MDDREC F3SUIC; Categorical are F3SUIC; CLUSTER = IDYRFAM; Missing are all (-99); Analysis: ESTIMATOR = MLR; TYPE = COMPLEX; Model: F3SUIC on IDSEX MDDADOL MDDREC; Output: CINTERVAL; I was hoping to ask one more question. It looks like later versions of MPlus give two-tailed p-values for the estimates. Is it possible to request p-values in MPlus 4.0? Or is there a way for me to calculate the p-values for the estimates with the information given? Thanks again for your help. |
|
|
No, there are no p-values in Version 4. The ratio of the parameter estimate to the standard error is a z-value in large samples. You can look it up in a z-table to getthe p-value. |
|
mplususer posted on Sunday, January 05, 2014 - 6:49 am
|
|
|
Of course. Thanks again! |
|
Back to top |
|
|