As mentioned in #8 , I need to link the phenotypic data with the VAP code. The proteomic dataset uses the VAP code as the subject ID, so I need to create a lookup table that links the VAP code to the age, sex, and infection of the patient through the BQC.
Using the Vcode_map (.xlsx), we can link the BQCID to the VAP code
Using the redcap (.csv), we can link the BQCID to the sex, age, and infection status
8 Created a "shrunk" map for the Vcode_map, which removes all entries that were not sent for core analysis, and removed duplicate BQC IDs that were after the initial draw. - Might want to include this data afterwards.
Duplicates were still present until "Extract" was also filtered by "Y".
Removed one duplicate BQC -> VAP was the same for both
Removed on entry BQC -> NULL
8 Created a lookup table named "Phenotype-BQC-VAP_Map.csv" which links each VAP number with the BQC ID, and the phenotype data of "Sex, COVID Status, Age".
As mentioned in #8 , I need to link the phenotypic data with the VAP code. The proteomic dataset uses the VAP code as the subject ID, so I need to create a lookup table that links the VAP code to the age, sex, and infection of the patient through the BQC.
Using the Vcode_map (.xlsx), we can link the BQCID to the VAP code
Using the redcap (.csv), we can link the BQCID to the sex, age, and infection status