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Biostatistics


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Description

I am looking for a tutor who knows how to "cluster-robust standard errors or a random-intercepts model where you cluster on group/cohort."

My project involves a two group comparison study of a meditation practice and a control. Each group was given a pre-test and post test.

For the treatment group(n=24 )and control group (N=35) I ran stats on all the indivual subjects. However, the data was collected in small 4-5 person groups/cohorts. I looked at changes of 11 scales pre-post, and some biological data. The stats I ran were a series of Independent T-test on gain scores/difference scores (post test minus pre test), and a series of dependent t-tests for both groups examining pre-post changes. There are only 2 intervention sessions over 2 weeks.

The treatment group and control group are composed of small 4-5 person groups. My issue is how to account for this?

I was told to "cluster-robust standard errors or a random-intercepts model where you cluster on group/cohort" but I am not sure how to implement.
Posted Date
07/22/2018

Listing ID
64714520
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