Support #1093

Mortality and attrition

Added by Per-Ola Sundin almost 2 years ago. Updated almost 2 years ago.

Data documentation
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Could you please advice me on the most convenient way to correctly identify individuals were vital status in unknown?

We are investigating associations between measures of kidney function from the nurse Health assesment and mortality up to wave 7. I have identified individuals reported diseased (with the help of previous advice from the support forum). When interpreting our data we need to understand how to separate the outcome into 1) reported diseased; 2) Alive (regardless if the sunbject participated in a new interview) 3) No Contact/Vital status unknown.

Yours sincerely
Per-Ola Sundin, PhD-student


#1 Updated by Stephanie Auty almost 2 years ago

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  • Assignee set to Stephanie Auty
  • % Done changed from 0 to 10
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Many thanks for your enquiry. The Understanding Society team is looking into it and we will get back to you as soon as we can.

Best wishes,
Stephanie Auty - Understanding Society User Support Officer

#2 Updated by Stephanie Auty almost 2 years ago

  • Status changed from New to In Progress

#3 Updated by Stephanie Auty almost 2 years ago

Dear Per-Ola,

First you should look in the xwavedat file. We have a deceased flag, dcsedfl_dv, the wave by which respondents were reported deceased, dcsedw_dv, and the last wave enumerated, lwenum_dv.

If a repondent has not been reported deceased, but has not been enumerated in recent waves, then use the w_indsamp file for the last wave they were enumerated to check w_ivfio and w_ivfho. These variables give the individual and household interview outcomes, including reasons they did not have an interview, which will give you more information about what has happened to them.

Best wishes,

#4 Updated by Stephanie Auty almost 2 years ago

  • Status changed from In Progress to Feedback
  • % Done changed from 10 to 70

#5 Updated by Stephanie Auty almost 2 years ago

  • Assignee changed from Stephanie Auty to Per-Ola Sundin

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