This is an example of an ADaM dataset designed to capture the reference data describing the initial population.
Variable Name | Variable Label | Type | Codelist/Controlled Terms | Core | Notes |
---|---|---|---|---|---|
STRTM1 | Stratum 1 | text | Age | Req | populate with the variable descriptor of one of the cell descriptors (either a row identifier or a column identifier) - the left-most column in this example |
STRVAL1 | Stratum 1 Value | integer?? | Req | populate with the STRTM1 values in the source data (Age in this example) | |
STRTM2 | Stratum 2 | text | Sex | Cond | populate with the variable descriptor of one of the cell descriptors (either a row identifier or a column identifier) - the lower level of the fifth column in this example |
STRVAL2 | Stratum 2 Value | text | M;F | Cond | populate with the STRTM2 values in the source data (Sex in this example) |
STRTM3 | Stratum 3 | text | Race | Cond | populate with the variable descriptor of one of the cell descriptors (either a row identifier or a column identifier) - the upper level of the fifth column in this example |
STRVAL3 | Stratum 3 Value | text | White | Cond | populate with the STRTM3 values in the source data (Race in this example) |
INPRM | Input Parameter | text | INITIAL POPULATION | Req | populate with the concept describing the value in the cell being captured in the dataset. it may come from a spreadsheet tab name, a spreadsheet name, or any desired parameter identifying value |
INPRMVAL | Input Parameter Value | float | Req | populate with the cell value from the referenced data that is being described by the STRMVALy values | |
INPRMU | Input Parameter Unit | text | COUNT/PERCENT | Perm | populate with the unit describing the cell values if appropriate |
STRTM1 | STRVAL1 | STRTM2 | STRVAL2 | STRTM3 | STRVAL3 | STRTM4 | STRVAL4 | INPRM | INPRMVAL | INPRMU |
---|---|---|---|---|---|---|---|---|---|---|
AGE | 0 | SEX | M | RACE | WHITE | POPULATION COUNT | 100 | COUNT | ||
AGE | 1 | SEX | M | RACE | WHITE | POPULATION COUNT | 100 | COUNT | ||
AGE | 2 | SEX | M | RACE | WHITE | POPULATION COUNT | 100 | COUNT | ||
AGE | 3 | SEX | M | RACE | WHITE | POPULATION COUNT | 100 | COUNT | ||
AGE | 4 | SEX | M | RACE | WHITE | POPULATION COUNT | 100 | COUNT | ||
AGE | 5 | SEX | M | RACE | WHITE | POPULATION COUNT | 100 | COUNT | ||
AGE | 0 | SEX | M | RACE | WHITE | PRODUCT USE STATE | NEVER | PREVALENCE | 0 | PERCENT |
AGE | 1 | SEX | M | RACE | WHITE | PRODUCT USE STATE | NEVER | PREVALENCE | 0 | PERCENT |
AGE | 2 | SEX | M | RACE | WHITE | PRODUCT USE STATE | NEVER | PREVALENCE | 0 | PERCENT |
AGE | 3 | SEX | M | RACE | WHITE | PRODUCT USE STATE | NEVER | PREVALENCE | 0 | PERCENT |
AGE | 4 | SEX | M | RACE | WHITE | PRODUCT USE STATE | NEVER | PREVALENCE | .001 | PERCENT |
AGE | 5 | SEX | M | RACE | WHITE | PRODUCT USE STATE | NEVER | PREVALENCE | .001 | PERCENT |
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