This query is used to provide summary statistics for drug exposure counts (drug_exposure_count) across all drug era records, stratified by drug type (drug_type_concept_id): the mean, the standard deviation, the minimum, the 25th percentile, the median, the 75th percentile, the maximum and the number of missing values as well as the total count. The input to the query is a value (or a comma-separated list of values) of a drug_type_concept_id . If the input is omitted, all possible values are summarized.
Input:
Parameter |
Example |
Mandatory |
Notes |
drug_type_concept_id |
38000182 |
Yes |
|
Sample query run:
The following is a sample run of the query. The input parameters are highlighted in blue
-- Oracle
SELECT tt.drug_type_concept_id
, count(1) as total_Cnt
, min(tt.stat_value) AS min_value
, max(tt.stat_value) AS max_value
, avg(tt.stat_value) AS avg_value
, (round(stdDev(tt.stat_value)) ) AS stdDev_value
, PERCENTILE_DISC(0.25) WITHIN GROUP( ORDER BY tt.stat_value )
AS percentile_25
, PERCENTILE_DISC(0.5) WITHIN GROUP (ORDER BY tt.stat_value )
AS median_value
, PERCENTILE_DISC(0.75) WITHIN GROUP (ORDER BY tt.stat_value )
AS percential_75
FROM
( SELECT
t.drug_exposure_count as stat_value,
t.drug_type_concept_id
FROM drug_era t
where t.drug_type_concept_id = 3800018238000182) tt
GROUP BY tt.drug_type_concept_id
ORDER BY tt.drug_type_concept_id
;
Output:
Output field list:
Field |
Description |
drug_type_concept_id |
A foreign key to the predefined concept identifier in the vocabulary reflecting the parameters used to construct the drug era.
|
drug_exposure_count |
The number of individual drug exposure occurrences used to construct the drug era.
|
avg_value |
The start date for the drug era constructed from the individual instances of drug exposures. It is the start date of the very first chronologically recorded instance of utilization of a drug. |
percentile_25 |
|
median_value |
|
percentile_75 |
|
Sample output record:
Field |
Description |
drug_type_concept_id |
|
drug_exposure_count |
|
avg_value |
|
percentile_25 |
|
median_value |
|
percentile_75 |
|
|
|