06 June 2017 4 10K Report

Hi,

I am looking at longitudinal data where parameter say "blood creatinine levels" is measured at different follow up intervals, say "time 1", "time 2" and "time 3". I want to see the change in the creatinine levels over time in the population. My problem is that at "time 1" a specific assay "X" was used for measuring blood creatinine levels, at "time 2" a new assay "Y" was used to measure creatinine levels and at "time 3" current gold standard assay "Z" was used to measure the creatinine levels. So the measurement method changes, hence the values at different time points are not comparable. 

I am trying to look for analysis methods that will help me make these measurements comparable (as if they were measured using the same technique- at least as close to each other as possible). Also I would like to see the effect of confounding variables on these measurements over time.

Can anyone please guide me? is there any good paper that I can follow?

Any suggestions on how to analyse this data will be helpful.

Thank you very much 

Saima

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