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Support #1645

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How to Deal with Missingness in Health Variables Over Time

Added by Sue Easton almost 3 years ago. Updated over 1 year ago.

Status:
Resolved
Priority:
Normal
Assignee:
-
Category:
Survey design
Start date:
01/31/2022
% Done:

100%


Description

Hi,

How to Deal with Missingness in Health Variables Over Time

I'm looking t health variables in UKHLS waves 1-11, and may individuals have incomplete data across the full timespan.

I'm wondering whether "missingness" across time/waves in UKHLS is generally considered MCAR/MAR/NMAR, as in this case it may indeed be linked to episodes of illness, and how other researchers have dealt with the issue of missing data?

I am dubious about imputing values using multiple imputation when the values I would use to impute are the same ones I will be entering into a multilevel analysis of health outcome.

Any advice or references on how to deal the missingness across time/waves gratefully received!

Thanks,

Sue E.

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