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Time-varying covariate: Calculation of prevalence of a condition at baseline and end of follow-up #9

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rosap opened this issue Feb 20, 2014 · 4 comments
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@rosap
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rosap commented Feb 20, 2014

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@rosap
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rosap commented Feb 20, 2014

If you build a time-varying covariate for a chronic disease, e.g. diabetes, chronic kidney disease, etc, you can calculate how many people have diabetes at baseline, e.g. when they enter the cohort, and at the end of follow-up. So you can know how many people enter the cohort disease-free but develop the disease during follow-up.

@evank23
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evank23 commented Feb 24, 2014

The cohort definition can be

  1. chronic (I.e. any code at time point x means condition present in future)
  2. acute, more or less (code within year or until resolve code)

Also need to define using

  1. read codes
  2. drugs
    3 ) tests
  3. combinations of

@evank23
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evank23 commented Feb 24, 2014

Muhaha I can assign Dave to all tasks...

@DASpringate
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Should never have given you full admin rights...

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