Closed liud4 closed 4 years ago
For ecogself related variables, the corresponding informant variables are ecoginf_xx. For ccqself relate variables, the corresponding informant variables are ccqinformxx.
@liud4, I don't understand what this issue is about. Could you please provide some more detail?
Each SCD questionnaires were also completed by their informant. This issue is to add the derived information SCD variables to the merge dataset.
On Thu, Apr 2, 2020 at 9:36 AM Omair A. Khan notifications@github.com wrote:
@liud4 https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2Fliud4&data=02%7C01%7Cdandan.liu%40vanderbilt.edu%7Ce72055be52d14c48f25308d7d7134819%7Cba5a7f39e3be4ab3b45067fa80faecad%7C0%7C0%7C637214350119938503&sdata=H%2Fm%2Fo3Nz5wxqQB9zKdmKYcXNCctw9oN5mwUOSYJJvWQ%3D&reserved=0, I don't understand what this issue is about. Could you please provide some more detail?
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-- Dandan Liu, PhD Assistant Professor Department of Biostatistics Vanderbilt University School of Medicine
While there is no ccqself44
or ccqself45
in our dataset, we do have ccqinform44
and ccqinform45
. To derive ccqinform.tot
, should I include the 44 and 45 when I call the total_score
function on these variables?
To document our phone call today, the answer to my question is that we will mirror the derivation for the ccqself.tot
, i.e. we will not include ccqself44
or ccqself45
in the calculation.
https://github.com/liud4/rVMAP/blob/d03b7b760fd81e0585750e56de61f9de94626b7c/R/derive_cognitive_complaint.R#L7