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Support #1724

Weights and accounting for individual clustering

Added by Catherine Bunting over 1 year ago. Updated over 1 year ago.

Status:
Resolved
Priority:
Normal
Category:
Weights
Start date:
07/12/2022
% Done:

100%


Description

Hello,

I am carrying out logistic regression to estimate the association between transitioning from unemployment to employment and health service use. My sample contains all individuals who were unemployed at UKHLS W7. Transition to employment is captured using their employment status at W8 and health outcomes are measured at W9.

I have created an equivalent cohort using individuals who were unemployed at W6, and pooled the two cohorts to increase my sample size. I therefore have some clustering by pidp, as individuals contribute twice to the analysis if they were unemployed at both W6 and W7.

In Stata, I am using svyset to specify the psu, cross-sectional weight (indscui_xw) and the strata. How can I also account for clustering by pidp? Normally I would use logistic regression with option vce(cluster pidp), but this is not possible when using the svy:logistic command.

Thank you!
Catherine

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