This page shows the technical details of what happened when authorised researcher Scott Walter requested one or more actions to be run against real patient data in the project, within a secure environment.
By cross-referencing the indicated Requested Actions with the
Pipeline section below, you can infer what
security level
various outputs were written to. Outputs marked as
highly_sensitive
can never be viewed directly by a researcher; they can only
request that code runs against them. Outputs marked as
moderately_sensitive
can be viewed by an approved researcher by logging into a highly
secure environment. Only outputs marked as
moderately_sensitive
can be requested for release to the public, via a controlled
output review service.
Jobs
-
- Job identifier:
-
jvpxtzlf7eozxotb
Pipeline
Show project.yaml
version: '3.0'
expectations:
population_size: 10000
actions:
generate_study_population:
run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2020-07-14 to 2021-03-15 by week" --skip-existing --output-format=csv.gz --output-dir=output/measures
outputs:
highly_sensitive:
cohort: output/measures/input_*.csv.gz
generate_practice_variables:
run: cohortextractor:latest generate_cohort --study-definition study_definition_practice --skip-existing --output-format=dta --output-dir=output
outputs:
highly_sensitive:
cohort: output/input_practice.dta
generate_measures:
run: cohortextractor:latest generate_measures --study-definition study_definition --skip-existing --output-dir=output/measures
needs: [generate_study_population]
outputs:
highly_sensitive:
measure_csv: output/measures/measure_*.csv
run_practice_variables:
run: stata-mp:latest analysis/practice_variables.do
needs: [generate_practice_variables]
outputs:
moderately_sensitive:
model: output/practice_variables.dta
model2: output/practice_variables.xlsx
run_model:
run: stata-mp:latest analysis/model.do
needs: [generate_measures, run_practice_variables]
outputs:
moderately_sensitive:
model1: output/PerProtocol.xlsx
model2: output/DiD_weekly.xlsx
data: output/process_eval.dta
check: output/weekly_check.xlsx
check2: output/practice_weekly_glmm.xlsx
model3: output/CITS_weekly.xlsx
model4: output/CITS_RandInt.xlsx
plot1: output/rti_plot.pdf
plot2: output/arti_plot.pdf
plot3: output/gastro_plot.pdf
plot4: output/coviddiag_plot.pdf
plot5: output/covidsympsens_plot.pdf
plot6: output/covidsympspec_plot.pdf
plot7: output/antibio_plot.pdf
plot8: output/adm_plot.pdf
run_process_evaluation:
run: stata-mp:latest analysis/process_eval.do
needs: [run_model]
outputs:
moderately_sensitive:
model1: output/process_eval.xlsx
model2: output/process_eval_cat.xlsx
model3: output/process_eval2.xlsx
model4: output/process_eval_cat2.xlsx
data: output/process_eval_check.xlsx
Timeline
-
Created:
-
Started:
-
Finished:
-
Runtime: 00:00:16
These timestamps are generated and stored using the UTC timezone on the backend.
Job information
- Status
-
Succeeded
- Backend
- TPP
- Workspace
- germdefence
- Requested by
- Scott Walter
- Branch
- main
- Force run dependencies
- No
- Git commit hash
- 6c852cd
- Requested actions
-
-
run_process_evaluation
-